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Paper Citation Record · LEDGER

Fourier Neural Operator for Parametric Partial Differential Equations

As of 11 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 100 inbound Pith citation observations for arXiv:2010.08895.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2010.08895 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T00:59:03.451352Z

measured 118 of 118 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 100 of 529 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:09:09.741739Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact7
  • verified fuzzy4
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

200
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ea6baa06-22e5-4a8d-be71-7b17693fe86f · outbound

This paper cites Solving ill-posed inverse problems using iterative deep neural networks.

Fourier Neural Operator for Parametric Partial Differential Equations Solving ill-posed inverse problems using iterative deep neural networks

Reference 1

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doi, observed 2026-05-11T00:59:03.480510Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dd5910cf-4e18-4b3e-8a99-a38f4d8ce626 · outbound

This paper cites doi: 10.1214/13-sts421.

Fourier Neural Operator for Parametric Partial Differential Equations doi: 10.1214/13-sts421

Reference 2

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doi, observed 2026-05-11T00:59:03.475577Z

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Observation 99178002-fb43-4bf1-a378-690ff8a16c3a · outbound

This paper cites DeVore , title =.

Fourier Neural Operator for Parametric Partial Differential Equations DeVore , title =

Reference 3

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doi, observed 2026-05-11T00:59:03.484646Z

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Observation 2f906deb-985e-4303-b400-cbd6613d8728 · outbound

This paper cites The Deep Ritz Method: A Deep Learning-Based Numerical Algo- rithm for Solving Variational Problems.

Fourier Neural Operator for Parametric Partial Differential Equations The Deep Ritz Method: A Deep Learning-Based Numerical Algo- rithm for Solving Variational Problems

Reference 4

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doi, observed 2026-05-11T00:59:03.500026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T23:38:25.729819+00:00.

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Observation ee68bed4-9c16-4089-9cc9-cbcf7ff14a0e · outbound

This paper cites Deep residual learning for image recog- nition.

Fourier Neural Operator for Parametric Partial Differential Equations Deep residual learning for image recog- nition

Reference 5

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation df9ca15a-66a4-48c4-8e5c-056bafe3feb2 · outbound

This paper cites MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework.

Fourier Neural Operator for Parametric Partial Differential Equations MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

Reference 6

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arxiv_id, observed 2026-05-11T00:59:03.517000Z

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Observation 6a51b8d3-081b-4896-9504-4207fb5f0fcf · outbound

This paper cites Enforcing physical constraints in cnns through differen- tiable pde layer.

Fourier Neural Operator for Parametric Partial Differential Equations Enforcing physical constraints in cnns through differen- tiable pde layer

Reference 7

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Observation ffab8a62-ddf6-42e0-a3a2-b09446ed3c1a · outbound

This paper cites Solving parametric PDE problems with artificial neural networks.

Fourier Neural Operator for Parametric Partial Differential Equations Solving parametric PDE problems with artificial neural networks

Reference 8

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arxiv_id, observed 2026-06-04T19:10:49.716818Z

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Observation 926aacf4-9358-4f77-9799-386010bd9886 · outbound

This paper cites Machine learning accelerated computational fluid dynamics.

Fourier Neural Operator for Parametric Partial Differential Equations Machine learning accelerated computational fluid dynamics

Reference 9

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arxiv_id, observed 2026-05-11T00:59:03.529715Z

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Observation 5281e162-d624-4bd9-bb00-cd0d02402545 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

Fourier Neural Operator for Parametric Partial Differential Equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 10

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

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Observation e2a06f7d-e740-4d4a-9545-6c7960ca18a6 · outbound

This paper cites The Random Feature Model for Input-Output Maps between Banach Spaces.

Fourier Neural Operator for Parametric Partial Differential Equations The Random Feature Model for Input-Output Maps between Banach Spaces

Reference 11

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arxiv_id, observed 2026-05-11T00:59:03.535507Z

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Observation 5e9fabc0-724f-435a-8f1b-e0a9d7f82c5a · outbound

This paper cites Implicit Neural Representations with Periodic Activation Functions.

Fourier Neural Operator for Parametric Partial Differential Equations Implicit Neural Representations with Periodic Activation Functions

Reference 12

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Observation 5e0c6157-68a2-4f89-b223-25e42f0c6ab9 · outbound

This paper cites EikoNet: Solving the Eikonal equation with Deep Neural Networks.

Fourier Neural Operator for Parametric Partial Differential Equations EikoNet: Solving the Eikonal equation with Deep Neural Networks

Reference 13

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arxiv_id, observed 2026-05-11T00:59:03.551864Z

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Observation 20ee8270-65b8-4783-912d-87970a0f235b · outbound

This paper cites doi: 10.1016/j.jcp.2018.04.018.

Fourier Neural Operator for Parametric Partial Differential Equations doi: 10.1016/j.jcp.2018.04.018

Reference 14

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doi, observed 2026-05-11T00:59:03.504332Z

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Observation c12d86c6-06de-493e-bc72-bdd575590bda · outbound

This paper cites The y-axis is the spectrum; the x-axis is the wavenumber|k| =k1 +k2.

Fourier Neural Operator for Parametric Partial Differential Equations The y-axis is the spectrum; the x-axis is the wavenumber|k| =k1 +k2

Reference 15

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Observation 6c1e5e2c-69b4-45fc-9ade-f8809c0573e6 · outbound

This paper cites The initial condition u0(x) is generated according to u0∼ µ where µ =N (0, 625(−∆ + 25I)−2) with periodic boundary conditions.

Fourier Neural Operator for Parametric Partial Differential Equations The initial condition u0(x) is generated according to u0∼ µ where µ =N (0, 625(−∆ + 25I)−2) with periodic boundary conditions

Reference 16

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Observation e42eb749-b09d-4853-90e3-b59e880a6a6f · outbound

This paper cites an unresolved cited work.

Fourier Neural Operator for Parametric Partial Differential Equations Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f6e3502c-f9e8-48a5-b0f0-33f63073f584 · outbound

This paper cites an unresolved cited work.

Fourier Neural Operator for Parametric Partial Differential Equations Unresolved cited work

Reference 18

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Pith citing papers

Observation 20319698-78fa-4b4e-8b7d-4b077b162e23 · inbound

Generative diffusion learning for parametric partial differential equations cites this paper.

Generative diffusion learning for parametric partial differential equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 13

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local_arxiv, observed 2026-05-24T09:09:15.679732Z

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Observation e4cb173f-7046-4a80-b84b-cfed6bd4d837 · inbound

KAN: Kolmogorov-Arnold Networks cites this paper.

KAN: Kolmogorov-Arnold Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 102

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local_arxiv, observed 2026-05-11T23:42:04.536489Z

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Observation c7fa76f6-3f76-4682-8f22-5d5bee336e98 · inbound

Neural Green's Operators for Parametric Partial Differential Equations cites this paper.

Neural Green's Operators for Parametric Partial Differential Equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 10

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local_arxiv, observed 2026-05-24T00:28:39.585332Z

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Observation 63f4f3a8-3033-4d73-973f-b5438d52ddcd · inbound

Non-markovian neural quantum propagator and its application to the simulation of ultrafast nonlinear spectra cites this paper.

Non-markovian neural quantum propagator and its application to the simulation of ultrafast nonlinear spectra Fourier Neural Operator for Parametric Partial Differential Equations

Reference 31

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local_arxiv, observed 2026-05-23T22:45:50.941880Z

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Observation a8989e3e-ef08-4636-9971-18474a5f6b7e · inbound

Learning Hidden Physics and System Parameters with Deep Operator Networks cites this paper.

Learning Hidden Physics and System Parameters with Deep Operator Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 21

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local_arxiv, observed 2026-05-23T07:45:28.908812Z

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Observation 1392370f-66c6-4784-8145-a3e97360af34 · inbound

TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems cites this paper.

TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 49

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local_arxiv, observed 2026-05-23T07:32:42.756474Z

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Observation 831af05f-f558-4f27-9f6f-b2358f663520 · inbound

Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement cites this paper.

Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Fourier Neural Operator for Parametric Partial Differential Equations

Reference 39

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Observation bb594f15-f419-49e6-9fec-f3a557640001 · inbound

DeepF-fNet: a physics-informed neural network for vibration isolation optimization cites this paper.

DeepF-fNet: a physics-informed neural network for vibration isolation optimization Fourier Neural Operator for Parametric Partial Differential Equations

Reference 34

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Observation 8ef4be2e-de16-4e53-9952-67a4efadb983 · inbound

Ultrasound Lung Aeration Map via Physics-Aware Neural Operators cites this paper.

Ultrasound Lung Aeration Map via Physics-Aware Neural Operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 27

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Observation 91428008-bf05-48b5-8bd8-1a95089ca08f · inbound

Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows cites this paper.

Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows Fourier Neural Operator for Parametric Partial Differential Equations

Reference 16

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Observation e58bee45-6db3-4273-be63-168bdc058ba6 · inbound

TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training cites this paper.

TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training Fourier Neural Operator for Parametric Partial Differential Equations

Reference 28

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Observation 39439483-aef3-497b-9f58-3b19e4631823 · inbound

Approximation Rates in Fr\'echet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers cites this paper.

Approximation Rates in Fr\'echet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers Fourier Neural Operator for Parametric Partial Differential Equations

Reference 41

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Observation 349d8933-9b31-425c-9597-08caa01791b8 · inbound

Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators cites this paper.

Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 17

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Observation 8b03473d-bff2-4357-95cc-639ba012ae93 · inbound

Data-Driven Radio Propagation Modeling using Graph Neural Networks cites this paper.

Data-Driven Radio Propagation Modeling using Graph Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 16

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Observation 2acbe5c6-ce35-4450-a74c-b4ec580306e4 · inbound

PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks cites this paper.

PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 6

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no resolver link, observed 2026-08-10T20:41:44.529694Z

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Observation aaf0a4eb-e81e-4238-aea7-f985366857fc · inbound

A Neural Operator-Based Approach to Symbolic Discovery of PDEs cites this paper.

A Neural Operator-Based Approach to Symbolic Discovery of PDEs Fourier Neural Operator for Parametric Partial Differential Equations

Reference 25

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Observation 55ea6992-df7e-4c6e-a61f-0b8ddbab6042 · inbound

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach cites this paper.

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach Fourier Neural Operator for Parametric Partial Differential Equations

Reference 23

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source=pdf_text observed=2026-08-10T22:31:41.787954Z digest=sha256:4b865aac4b661df7c559759a593973083a19cfdaf3bae93f5139966cd14d0117

Observation 0b75c4ed-0c11-447d-a8c8-10788a5e834a · inbound

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines cites this paper.

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines Fourier Neural Operator for Parametric Partial Differential Equations

Reference 12

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source=pdf_text observed=2026-08-10T20:13:16.601136Z digest=sha256:70c8ce2482827ba5ed2d68756a41d71b0df6d09f66fb35050265f7ddfbb4b272

Observation 00d18da5-0593-41f2-93e8-9a2cbd86ad8b · inbound

Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks cites this paper.

Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 45

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source=pdf_text observed=2026-08-10T19:35:54.414998Z digest=sha256:ecffba324a2c4d9ca987584322d4f2cce3a3d378695479a64c7a5a64b8179685

Observation e2461935-0965-4775-be76-525df33f6229 · inbound

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients cites this paper.

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients Fourier Neural Operator for Parametric Partial Differential Equations

Reference 27

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source=arxiv_source observed=2026-08-10T17:51:51.176745Z digest=sha256:f42752d539c957e00f31f42b2189a7cfeea91a3a2bb4ee60487e5dd8a239a8a7

Observation c641171c-ee51-45bf-8e43-efbea02ff807 · inbound

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation cites this paper.

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 26

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source=pdf_text observed=2026-08-10T17:46:46.851412Z digest=sha256:50912c1c332668bec87cb37c3a9a6f31edef4689b9ab38999883cda2157ebe81

Observation 0ad9a846-c258-4ebb-8dbb-6b02e9103f17 · inbound

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space cites this paper.

Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

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source=pdf_text observed=2026-08-10T17:34:33.467491Z digest=sha256:5228c088cf0ea67f777068cf9472417404d74004370a96109a514487a43df07c

Observation 7f7b8586-ef9e-4f8c-a4a4-9be3702175cf · inbound

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks cites this paper.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 51

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source=arxiv_source observed=2026-08-10T16:43:29.520945Z digest=sha256:b696f5a4b554d430f7e25f508f73fb108f1b330be63720ccd4226b6a749a05ad

Observation b64037af-60bf-4c62-bc7a-913b83787afa · inbound

A Data-Driven Framework for Koopman Semigroup Estimation in Stochastic Dynamical Systems cites this paper.

A Data-Driven Framework for Koopman Semigroup Estimation in Stochastic Dynamical Systems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 30

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source=pdf_text observed=2026-08-10T16:23:21.279791Z digest=sha256:d5bda61f6b24eab7fa2b0565774021661e5ce7b7460ea0fc4d0e9c7b3c2bec7c

Observation 3d0b2abf-e357-4f76-a757-903eeee06db6 · inbound

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation cites this paper.

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 51

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source=arxiv_source observed=2026-08-10T16:21:40.410386Z digest=sha256:07927f76832cd8953d3dd3029a3fb4fa308e70d6c41ff95c22cf1fd1955d1918

Observation 0bd7320b-287c-4b10-8f87-e63033b688fa · inbound

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations cites this paper.

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2015

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source=pdf_text observed=2026-08-10T16:17:08.349924Z digest=sha256:f8313fa9ebf0861e9508dbb117943a23c7779dec33f36140402755f9c1b7377d

Observation a101a893-c3e2-4c8d-923e-5737705d4ba4 · inbound

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries cites this paper.

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries Fourier Neural Operator for Parametric Partial Differential Equations

Reference 31

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source=pdf_text observed=2026-08-10T15:12:46.120298Z digest=sha256:aac5205c4d102844703f8b837f73ddf7915b2de8ffa29a031b5b483a79ad60d1

Observation af7f8e17-75b1-4244-9888-d0c7f6c3e5d9 · inbound

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows cites this paper.

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows Fourier Neural Operator for Parametric Partial Differential Equations

Reference 20

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source=pdf_text observed=2026-08-10T14:59:44.851002Z digest=sha256:9fcb5e28cadf8ed1b3b3eb5bb6070dedd16b1b4e81d3f68e652efe6b69007b44

Observation 18e80ed6-bbcf-4089-b11e-be3c7ffd52f1 · inbound

Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations cites this paper.

Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 55

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source=pdf_text observed=2026-08-10T16:27:18.561473Z digest=sha256:74cd4c284e248701937100f63118f0541bd9812eb6547c5ab3d8de0e78cf8ad0

Observation c4edcb49-5f2b-4334-8cd5-6236d6462a71 · inbound

FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation cites this paper.

FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 33

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source=pdf_text observed=2026-08-10T20:58:06.666793Z digest=sha256:09247f8ce14ceb5801afc0c5783d40295277b364b0a93df8da9a4ff8db4742bb

Observation 11d71b0a-4b7c-4351-b9f6-2cf02169a7aa · inbound

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils cites this paper.

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils Fourier Neural Operator for Parametric Partial Differential Equations

Reference 39

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source=pdf_text observed=2026-08-10T04:53:37.047925Z digest=sha256:c078ceb4da098be11ea5461eb015d3a155b7f14104cafe2b66952abcddb76c5c

Observation a0713f38-25e9-45fd-aae6-49314b498171 · inbound

PDE-DKL: PDE-constrained deep kernel learning in high dimensionality cites this paper.

PDE-DKL: PDE-constrained deep kernel learning in high dimensionality Fourier Neural Operator for Parametric Partial Differential Equations

Reference 34

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source=pdf_text observed=2026-08-10T00:14:36.512269Z digest=sha256:78983d695509b42f99def56b35c20a8a5cf786cee386e30d6e764214b7fc0a7b

Observation a8b22c49-5fac-4e62-8d71-83aea0b39306 · inbound

Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning cites this paper.

Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 145

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source=pdf_text observed=2026-08-09T22:50:29.329184Z digest=sha256:c93b50881269c27665b21aa26b4fe2b9a94ee5c0383b122e234edc7a9b404c41

Observation ee330250-5ac2-488a-8c4c-02d891726651 · inbound

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics cites this paper.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Fourier Neural Operator for Parametric Partial Differential Equations

Reference 26

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source=pdf_text observed=2026-08-09T21:55:52.505931Z digest=sha256:5045c9400041d3c9532381994a3929115f1ee9cee106dde19becd15cb5603c0d

Observation 71c18255-8355-4e5b-836c-8185d64fa3a7 · inbound

Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations cites this paper.

Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 47

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source=pdf_text observed=2026-08-09T20:32:37.023689Z digest=sha256:e90059b36768159152fb90cc230cc3fb9b71824ef4c0660faf660df9b28106db

Observation 08dc357a-92ba-4898-bd8c-6596c8ea0333 · inbound

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation cites this paper.

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 8

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source=pdf_text observed=2026-08-09T17:52:03.127702Z digest=sha256:25db15d4e357a92c950ebac075c423a5ee700de03263e8102d641a11a238036b

Observation 7e8ce358-72cf-44e1-9d8d-530270f0063c · inbound

Physics-Informed Surrogates for Temperature Prediction of Multi-Tracks in Laser Powder Bed Fusion cites this paper.

Physics-Informed Surrogates for Temperature Prediction of Multi-Tracks in Laser Powder Bed Fusion Fourier Neural Operator for Parametric Partial Differential Equations

Reference 16

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source=pdf_text observed=2026-08-09T14:24:43.349803Z digest=sha256:8fb6f72504078e798d393af7117cb1b3aaa422d6d8674c232a6f34d3f347951b

Observation 3e550152-16d1-46bd-b831-4cd71979a87d · inbound

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling cites this paper.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2021

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source=pdf_text observed=2026-08-09T13:05:20.277107Z digest=sha256:6bc64a2818b1b55e657d635776c4c3c9a0effcf80d09fa1c6d8d56241dec7482

Observation 93997e33-c521-4c3e-9018-23241e0af2f4 · inbound

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction cites this paper.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Fourier Neural Operator for Parametric Partial Differential Equations

Reference 13

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source=pdf_text observed=2026-08-08T22:55:42.071704Z digest=sha256:d15e9aa6089825b8a36a8bdc4cdacc0a1f2113440206644da55802b80a95f92d

Observation b7a01f26-6151-4fab-9420-b3cb85fb5f1d · inbound

Active Learning of Model Discrepancy with Bayesian Experimental Design cites this paper.

Active Learning of Model Discrepancy with Bayesian Experimental Design Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

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source=pdf_text observed=2026-08-08T19:39:39.981985Z digest=sha256:1bae08e854359e7551a31b6d92fcb0cf9c9813ca13c2949e0c27947c9a5cae99

Observation 92822112-60e0-4131-b3ec-58fd85be128c · inbound

Learning Memory and Material Dependent Constitutive Laws cites this paper.

Learning Memory and Material Dependent Constitutive Laws Fourier Neural Operator for Parametric Partial Differential Equations

Reference 37

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source=pdf_text observed=2026-08-08T19:19:58.236424Z digest=sha256:eefb66db88d14377682d1588f427e32bc903605a911b4a55384380d8231e5436

Observation 33a05524-4ce7-48af-8f3d-3a3336c3e418 · inbound

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations cites this paper.

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 45

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source=pdf_text observed=2026-08-08T18:37:48.670876Z digest=sha256:9bd4992f40b54507e4a74e63b5237bddde8650bc129e5e7539788719271ccb1a

Observation f70cb085-eadf-43f6-8b35-0bedcecabfd8 · inbound

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions cites this paper.

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions Fourier Neural Operator for Parametric Partial Differential Equations

Reference 21

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source=pdf_text observed=2026-08-08T17:02:12.767121Z digest=sha256:4807ff482c269dfc0a99d06ffb8cb89523b9af3a922ca18cc88b9e2ad896ea29

Observation e8dfad3d-0a0d-4ade-96b9-a5497fb95716 · inbound

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling cites this paper.

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Fourier Neural Operator for Parametric Partial Differential Equations

Reference 29

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source=pdf_text observed=2026-08-08T16:20:50.935916Z digest=sha256:ad8aebe27d8dd30111462ac6a01a75272279d2d80e367092fb531768cde51c89

Observation 13121858-ba41-4360-bedd-b3c8804727da · inbound

Fourier-enhanced Neural Networks For Systems Biology Applications cites this paper.

Fourier-enhanced Neural Networks For Systems Biology Applications Fourier Neural Operator for Parametric Partial Differential Equations

Reference 61

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source=pdf_text observed=2026-08-08T13:48:49.302338Z digest=sha256:5cd2718534fbd52171609cbf34e6ec31ee177a5fffb7991ac49d78ad6ded3bf1

Observation 2fb60b36-3778-46f0-a9c9-16b5880e7f31 · inbound

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning cites this paper.

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 38

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source=arxiv_source observed=2026-08-08T12:12:57.477355Z digest=sha256:30053f41f97ce3fa3a6c191e18c89f311a7ebfc266a7d939e63d5f4a6d999c9b

Observation 901a4c98-f00b-4141-b469-ce81a16389a4 · inbound

A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs cites this paper.

A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs Fourier Neural Operator for Parametric Partial Differential Equations

Reference 41

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source=pdf_text observed=2026-08-08T05:46:28.160595Z digest=sha256:23050e6bc0597873acd5fc8cfe8477bd243518c35d298f051d6d309fc43f91c4

Observation b8e2f7d2-9d77-438b-9253-ba6b75d6ed35 · inbound

Machine learning for modelling unstructured grid data in computational physics: a review cites this paper.

Machine learning for modelling unstructured grid data in computational physics: a review Fourier Neural Operator for Parametric Partial Differential Equations

Reference 204

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source=pdf_text observed=2026-08-07T21:49:41.268476Z digest=sha256:4a1dcd02c54fe8195b2ff367d02de47b3af54916134d021127cc376dbec5eae2

Observation 5d2896f0-b7ee-4cc3-bdd3-4b3c4b303ba4 · inbound

A Deep Inverse-Mapping Model for a Flapping Robotic Wing cites this paper.

A Deep Inverse-Mapping Model for a Flapping Robotic Wing Fourier Neural Operator for Parametric Partial Differential Equations

Reference 24

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source=arxiv_source observed=2026-08-07T21:46:19.639762Z digest=sha256:77d1f8ec74eee502491ee308841119ec16db715aa15ddc53ee76a5405796313b

Observation def4eb39-a627-446b-91c4-a77a0b926ae8 · inbound

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks cites this paper.

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 6

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local_arxiv, observed 2026-05-23T01:02:20.731660Z

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source=pdf_text observed=2026-05-23T00:57:22.234551Z digest=sha256:2bb6dfae2d73edb6c7d09cced2bdb94e73a2e933b0749d4f270f682e898d426f

Observation b4b05f0d-8d78-4010-b2ea-ccaa74cc7501 · inbound

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series cites this paper.

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series Fourier Neural Operator for Parametric Partial Differential Equations

Reference 10

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local_arxiv, observed 2026-05-23T00:45:15.549585Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T00:42:26.954392Z digest=sha256:fdd3a5bf97de407a7c805dd03c71b48fe1834b3839e61ba816366e0074492cd6

Observation 87fb0a84-3710-4864-a9f7-40b6d399d6b3 · inbound

Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator cites this paper.

Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator Fourier Neural Operator for Parametric Partial Differential Equations

Reference 44

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local_arxiv, observed 2026-05-22T23:52:16.902870Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T23:51:39.466995Z digest=sha256:a4beafa37316b17d66c50a1e3785bbaafed1277402234a3748ba13048e057cf5

Observation 3fea6d6d-9bd0-4b6c-9fb0-42ef42828728 · inbound

On the definition and importance of interpretability in scientific machine learning cites this paper.

On the definition and importance of interpretability in scientific machine learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 42

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local_arxiv, observed 2026-05-22T14:11:38.592894Z

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source=pdf_text observed=2026-05-22T14:08:37.253192Z digest=sha256:f1c8fd0f2ac6d1c67bbd3577fedf09ab067b224456c4455a21651d1750842862

Observation 912d0b65-ba24-40ab-8c42-a6072e729448 · inbound

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators cites this paper.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 20

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source=pdf_text observed=2026-08-07T15:42:55.049306Z digest=sha256:138a257ab8d9b21eba4c38f9cddf3839659d052c3f7e1c20cdd23170502faead

Observation 3eeb092d-b5b4-4827-84d5-5d70693ff4d5 · inbound

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting cites this paper.

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting Fourier Neural Operator for Parametric Partial Differential Equations

Reference 16

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source=pdf_text observed=2026-08-07T15:36:48.317697Z digest=sha256:f477331af2b2d85e9253f400bff42a9679c695a870e8e69bb693b2ae5541763b

Observation 55efe332-ca5c-4eeb-ada1-2451ec5645a1 · inbound

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting cites this paper.

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting Fourier Neural Operator for Parametric Partial Differential Equations

Reference 70

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source=pdf_text observed=2026-05-22T13:41:26.675038Z digest=sha256:294f1e1e359a90623a8e50c966e031f6029081d5dc07813fed733fa3a836d880

Observation a920d063-b163-4797-b866-d256d3a7d1ee · inbound

Deep Operator Neural Network Model Predictive Control cites this paper.

Deep Operator Neural Network Model Predictive Control Fourier Neural Operator for Parametric Partial Differential Equations

Reference 22

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source=pdf_text observed=2026-08-07T14:46:15.520419Z digest=sha256:45eb3ed5295f8ae224b93613abd73d9e79578db0bb4d38f5131c62938b4e733f

Observation 6ea538d1-1fdc-4300-8e7b-90d10138288c · inbound

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training cites this paper.

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training Fourier Neural Operator for Parametric Partial Differential Equations

Reference 53

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source=arxiv_source observed=2026-08-07T14:35:04.400712Z digest=sha256:49be57d8f0e1b2d0d14b6690474eb90c4bf841f6dbcaf0f2b432d28c4b3a6bf8

Observation 8fa85b0d-9f3b-4fe9-a025-ec3d06bf6e93 · inbound

SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs cites this paper.

SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs Fourier Neural Operator for Parametric Partial Differential Equations

Reference 11

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local_arxiv, observed 2026-05-19T13:57:19.562501Z

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source=pdf_text observed=2026-05-19T13:56:05.955642Z digest=sha256:4a4ba6faa4c819dcd0ae1e1792befba9d31606625aab86573db09acb4828ec1e

Observation 025b8c9a-9dca-45ec-9d61-392731efe6b8 · inbound

SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs cites this paper.

SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs Fourier Neural Operator for Parametric Partial Differential Equations

Reference 11

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local_arxiv, observed 2026-05-22T01:50:54.704521Z

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source=pdf_text observed=2026-05-22T01:47:23.863510Z digest=sha256:902463fa52b61079e269970e5aa83d2b452709e34d91e1b258a1f7555c59099f

Observation 20f3bfbe-4a1c-4a55-b418-61d3e7d6d25d · inbound

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems cites this paper.

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 46

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source=pdf_text observed=2026-08-07T14:36:13.077878Z digest=sha256:be8a2270c938b7e8529639d9efadd705ca32caa2268b8f0c5422f63bdbc84363

Observation c6ba211a-8888-4799-9ceb-73d1da2588b5 · inbound

Governing Equation Discovery from Data Based on Differential Invariants cites this paper.

Governing Equation Discovery from Data Based on Differential Invariants Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

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source=pdf_text observed=2026-08-07T14:32:14.018192Z digest=sha256:520df45651a1113c1a232ef57b6666777391d26fc75175be672d87cbdab30442

Observation 023928f4-3c64-42a1-9b77-57a93dd1a016 · inbound

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems cites this paper.

Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 52

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source=pdf_text observed=2026-08-07T14:27:44.045064Z digest=sha256:4e05de082fe264400e8ed9a91133f7c70e62236e6c65d2b013261bb57d4e6388

Observation 80fc4716-4bfd-4051-9af0-6bad4747fb98 · inbound

Graph-Based Operator Learning from Limited Data on Irregular Domains cites this paper.

Graph-Based Operator Learning from Limited Data on Irregular Domains Fourier Neural Operator for Parametric Partial Differential Equations

Reference 1

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source=arxiv_source observed=2026-08-07T14:27:42.387570Z digest=sha256:792fe5c679503541a0b6c602fa37f4849d6b9f4902588b8cdebbd4e932b4c8a6

Observation 307c5b5d-dbfc-495d-99d7-58eae540d6f8 · inbound

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning cites this paper.

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 39

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source=arxiv_source observed=2026-08-07T14:26:32.222675Z digest=sha256:628e7b4cb75f18dc9c4355a5dccf2876cefe31fccbba91586d6152e3c36134ae

Observation e1f60800-e6de-42f8-9c93-4b6cc993926c · inbound

Latent Mamba Operator for Partial Differential Equations cites this paper.

Latent Mamba Operator for Partial Differential Equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 16

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source=pdf_text observed=2026-08-07T14:24:44.054027Z digest=sha256:9e77b7abae4c70452deaf50b238f23b1c1bb123a9e9ffa759af96fb243fd70b1

Observation 59d01772-76d0-44de-8632-71da301c942c · inbound

Efficient Deconvolution in Populational Inverse Problems cites this paper.

Efficient Deconvolution in Populational Inverse Problems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 57

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local_arxiv, observed 2026-05-19T14:22:23.828049Z

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source=pdf_text observed=2026-05-19T14:21:21.786849Z digest=sha256:c05e9c7821995433a470f35c278face08e88da103d9cf9786e9c66a59ef938ad

Observation 5d363871-ef11-476a-8d41-8e2793422677 · inbound

Deep Active Inference Agents for Delayed and Long-Horizon Environments cites this paper.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Fourier Neural Operator for Parametric Partial Differential Equations

Reference 61

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source=pdf_text observed=2026-08-07T14:12:58.199587Z digest=sha256:ecaacb5c087a505d09258492f8ba6788639f2bd605787bba50c6614e2d6888a0

Observation b5f0b3e1-44b9-422d-ae98-42ddafca8984 · inbound

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation cites this paper.

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 34

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source=pdf_text observed=2026-08-07T13:12:38.627814Z digest=sha256:e9901bf22ecdc6d378f1991eb6dc078d6021275c1845be2496d5cf33331ad2b0

Observation 769099d0-9032-4c8f-8ee8-4d4ad7dbb67a · inbound

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor cites this paper.

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor Fourier Neural Operator for Parametric Partial Differential Equations

Reference 4

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source=pdf_text observed=2026-08-07T13:04:12.090494Z digest=sha256:152e2acde0f6661dd309fa60a2c5df3c8c0236840d1c0784fb2bc8fad0a2faac

Observation 78a5a871-5104-4d0f-a0ab-8d499d02395c · inbound

(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs cites this paper.

(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs Fourier Neural Operator for Parametric Partial Differential Equations

Reference 12

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source=pdf_text observed=2026-08-07T12:48:55.456494Z digest=sha256:4ac39959c85c70839ed8409f479e6124509d11fb51dfa73d5850ea62da5481f9

Observation 8779dfcb-a39b-4322-8631-d855edb77c2d · inbound

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction cites this paper.

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction Fourier Neural Operator for Parametric Partial Differential Equations

Reference 14

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source=pdf_text observed=2026-08-07T12:36:57.470723Z digest=sha256:4d84d330fe0c2bc139f7172963e60dba78be636e8d02d3750e4952621407eac9

Observation 748dfbbc-ab18-4a33-ae80-e470a5a6ea62 · inbound

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling cites this paper.

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling Fourier Neural Operator for Parametric Partial Differential Equations

Reference 25

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source=pdf_text observed=2026-08-07T12:02:19.717678Z digest=sha256:631d8a96b6d6d3c1f3665d3f0d4dec6d9d437a6de18462ae69a0bf971da46d8d

Observation 9244d4a5-061b-499b-bae2-c66eccb7f23a · inbound

PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations cites this paper.

PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 32

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source=pdf_text observed=2026-08-07T11:47:49.918935Z digest=sha256:9510c5debc010b439997153a97b4b4d9ffe7c681f92ef6216ee43fabaeb22df5

Observation c7ba6a0e-9219-4248-a205-0742d1498b6e · inbound

Technical report on a quantum-inspired solver for simulating compressible flows cites this paper.

Technical report on a quantum-inspired solver for simulating compressible flows Fourier Neural Operator for Parametric Partial Differential Equations

Reference 26

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source=pdf_text observed=2026-08-07T10:57:16.862548Z digest=sha256:83c9ace34515c5154f44a0cbbd1c8d40491bcdf3fafa56f8e098a2b9f006aefd

Observation 47fe7cbf-f2da-4f27-b9fa-9761ae60a6b0 · inbound

Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient cites this paper.

Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient Fourier Neural Operator for Parametric Partial Differential Equations

Reference 28

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source=pdf_text observed=2026-08-07T10:48:10.500757Z digest=sha256:84eed900d3a06e01b549743552ee7746a2905f18f25c29bdc3d5585934a91cec

Observation bccd5f23-7bbd-4355-a139-d088bcbf63f5 · inbound

Hierarchical Implicit Neural Emulators cites this paper.

Hierarchical Implicit Neural Emulators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 21

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source=pdf_text observed=2026-08-07T10:45:39.769197Z digest=sha256:33120f3cf97db23d25b62df18babe33f930d59be22522f862fcc877b65c3860d

Observation 28d4d23f-8f25-4cc2-90e9-ac9707ba5be0 · inbound

Deep learning methods for modeling infrasound transmission loss in the middle atmosphere cites this paper.

Deep learning methods for modeling infrasound transmission loss in the middle atmosphere Fourier Neural Operator for Parametric Partial Differential Equations

Reference 18

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source=pdf_text observed=2026-08-07T11:45:04.037096Z digest=sha256:2b3e277bc026699828d0c5903e2438776c66fe1a87d1a1349dd000351b303716

Observation b781c7f5-c8e0-42d6-a038-aed1ded92cd9 · inbound

Towards real-time assessment of infrasound event detection capability using deep learning-based transmission loss estimation cites this paper.

Towards real-time assessment of infrasound event detection capability using deep learning-based transmission loss estimation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 49

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source=arxiv_source observed=2026-08-07T11:23:28.757004Z digest=sha256:0cc1f403326759faebf019f97df992451e7a41cb97406b7e191b5f667256fc22

Observation 34017d6f-9fd2-4801-90e3-dd206e1fd502 · inbound

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory cites this paper.

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory Fourier Neural Operator for Parametric Partial Differential Equations

Reference 40

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source=arxiv_source observed=2026-08-07T06:01:41.857701Z digest=sha256:68888f23c3b1580a845606b70939a02786b7a9f38445e57e7a1df817839b50e9

Observation 23f07b92-ca04-4b2b-a5d3-83235b8f5843 · inbound

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory cites this paper.

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory Fourier Neural Operator for Parametric Partial Differential Equations

Reference 52

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source=arxiv_source observed=2026-08-07T06:01:41.908726Z digest=sha256:cb3f84b63e4425ecc5c6cff77e2482ec63918b09b00fa5bac4873272b41bc1b9

Observation 5b75da89-8ed1-43c3-8888-bcb9e7f45dbe · inbound

Deep regularization networks for inverse problems with noisy operators cites this paper.

Deep regularization networks for inverse problems with noisy operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 50

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no resolver link, observed 2026-08-07T05:52:23.924922Z

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source=pdf_text observed=2026-08-07T05:52:23.924922Z digest=sha256:32ce174ca9ce44c5959f433d2b1f22ad03e9bf73d371eeb0d0976c97aa0858c4

Observation e8a57ae2-2074-4025-8f01-618e778e1ee4 · inbound

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems cites this paper.

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 52

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source=pdf_text observed=2026-08-07T05:16:06.817643Z digest=sha256:84b3f6f3da826d7128a323cd4c9783c476f39fc489b53f456a61160102075b01

Observation 85591e2f-fad4-4e2b-93b9-b9a78db5c8d6 · inbound

History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials cites this paper.

History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials Fourier Neural Operator for Parametric Partial Differential Equations

Reference 43

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source=pdf_text observed=2026-08-07T04:33:45.339760Z digest=sha256:12c93f21c8e9dc90c3d94962db09f04d7380f0c73aea40658d732ef6674db0cb

Observation 99c8fc16-2383-488b-a9b4-884c0d93aa8d · inbound

SlotPi: Physics-informed Object-centric Reasoning Models cites this paper.

SlotPi: Physics-informed Object-centric Reasoning Models Fourier Neural Operator for Parametric Partial Differential Equations

Reference 40

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source=pdf_text observed=2026-08-07T04:25:21.093290Z digest=sha256:014fb154888fe2bc26cd2948cc239fef044b8590d4b3ea86fabe255ab13646b9

Observation 2e97d5a9-245e-4e9e-a826-da10601e3ba1 · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 63

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source=arxiv_source observed=2026-08-07T04:19:42.459126Z digest=sha256:3402341c34af1d6a6b3c525b8c7c55ecbe1d6ff09d168577e9731b06ada14518

Observation 7e42bfd5-917c-4122-9874-e8f164c41e1c · inbound

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics cites this paper.

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics Fourier Neural Operator for Parametric Partial Differential Equations

Reference 20

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source=arxiv_source observed=2026-08-07T04:18:14.101813Z digest=sha256:6b6557d2d2104ab0b875b80d3ef632e49389de904be6cc838b8bd3763673602e

Observation 84ed9891-f995-423a-8911-6a20a4275770 · inbound

Fusion of multi-source precipitation records via coordinate-based generative model cites this paper.

Fusion of multi-source precipitation records via coordinate-based generative model Fourier Neural Operator for Parametric Partial Differential Equations

Reference 66

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source=pdf_text observed=2026-08-07T04:07:50.790186Z digest=sha256:2a8cf6b0e06e817014954eb86316c4355590d542b4a9ac6a05efa4ca9307903e

Observation 6681b7cc-b96c-4af8-bd8f-f53facb9df41 · inbound

An approximate Riemann solver approach in Physics-Informed Neural Networks for hyperbolic conservation laws cites this paper.

An approximate Riemann solver approach in Physics-Informed Neural Networks for hyperbolic conservation laws Fourier Neural Operator for Parametric Partial Differential Equations

Reference 28

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source=arxiv_source observed=2026-08-07T01:07:41.424594Z digest=sha256:a2ce9520a8eaa557932fff5288397ccadf7bb72df55fea117111c432435b2049

Observation a7688033-65dc-47fe-aaf3-4c8011eb789a · inbound

BSA: Ball Sparse Attention for Large-scale Geometries cites this paper.

BSA: Ball Sparse Attention for Large-scale Geometries Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

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source=arxiv_source observed=2026-08-07T00:52:50.573587Z digest=sha256:a822c7b560698c39e35dada313c2010c20e16908484373fe9e12f50738479da9

Observation 93ab6233-f708-42a4-8b0f-8e0b1cc7fdf3 · inbound

Learning Mappings in Mesh-based Simulations cites this paper.

Learning Mappings in Mesh-based Simulations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 22

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source=pdf_text observed=2026-08-07T00:50:33.815577Z digest=sha256:76409015182ee9d4bdd8bb60e2d4ed5d1189a1e6c6b3a64d060afc6cd91c1b19

Observation 4edf7273-81a1-49e4-90c5-2b381c740c7e · inbound

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling cites this paper.

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Fourier Neural Operator for Parametric Partial Differential Equations

Reference 20

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source=pdf_text observed=2026-08-07T00:48:15.360376Z digest=sha256:808dab73e88d56d5e5db38eb4d322bd7b8362fd3aed0ec80d6ba56898f7743ea

Observation 39bb1070-20ae-4a3a-8292-ef0239a47c90 · inbound

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators cites this paper.

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 5

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source=pdf_text observed=2026-08-07T00:41:09.352339Z digest=sha256:866091ec3aac62af8e26101c778891c705173962ee776555f89157fdc367e68a

Observation 20bf47e0-aeb7-417d-9ca4-f7f16255671e · inbound

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models cites this paper.

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models Fourier Neural Operator for Parametric Partial Differential Equations

Reference 40

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no resolver link, observed 2026-08-07T00:31:13.084202Z

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Observation 2658423f-296b-4d86-b347-301ccc2c5528 · inbound

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations cites this paper.

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations Fourier Neural Operator for Parametric Partial Differential Equations

Reference 8

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no resolver link, observed 2026-08-07T00:29:31.997258Z

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source=pdf_text observed=2026-08-07T00:29:31.997258Z digest=sha256:df3b3ed0f33b39dda7a887e1b108e3c075e9ca0db5da5d8053033e999d13d250

Observation 606beed0-1c01-40c1-a604-f7023d220d78 · inbound

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation cites this paper.

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation Fourier Neural Operator for Parametric Partial Differential Equations

Reference 32

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unresolved
no resolver link, observed 2026-08-07T00:24:12.609637Z

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source=arxiv_source observed=2026-08-07T00:24:12.609637Z digest=sha256:2636f769e26adc14b01719a0a187fa82746ca9a5fdeb7b156aa3019734de85dc

Observation 10d2c943-259a-4968-bc36-dcec2f01734e · inbound

Beyond Blur: A Fluid Perspective on Generative Diffusion Models cites this paper.

Beyond Blur: A Fluid Perspective on Generative Diffusion Models Fourier Neural Operator for Parametric Partial Differential Equations

Reference 22

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metadata mismatch
local_arxiv, observed 2026-05-19T08:17:10.918193Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T08:14:42.654017Z digest=sha256:4813cd443e09214d6c3bc5b71eb40b8d0715f12742d53495a8509240ddd02c42

Observation e714a0a2-6da8-4d8f-8f89-f562b3903d17 · inbound

Exploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures cites this paper.

Exploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures Fourier Neural Operator for Parametric Partial Differential Equations

Reference 12

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no resolver link, observed 2026-08-06T23:27:59.496855Z

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source=pdf_text observed=2026-08-06T23:27:59.496855Z digest=sha256:cfd22fa0c8adcada755af1147efc73d5f9bd51da743eed7ef10c7ad3f1405961

Observation 72820f20-f7c6-468b-bfa5-a5381d493e39 · inbound

A Geometry-Aware AI Emulator for the Coupled Whole Atmosphere from Earth Surface to the Ionosphere and Thermosphere cites this paper.

A Geometry-Aware AI Emulator for the Coupled Whole Atmosphere from Earth Surface to the Ionosphere and Thermosphere Fourier Neural Operator for Parametric Partial Differential Equations

Reference 25

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unresolved
no resolver link, observed 2026-08-06T23:12:39.868467Z

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source=arxiv_source observed=2026-08-06T23:12:39.868467Z digest=sha256:8504276bc8b731bbba9eb68f93395c10593d430a57f4083bbc9ab31de962efd9

Observation 1b749a59-66ed-4540-b096-6207382549bc · inbound

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization cites this paper.

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization Fourier Neural Operator for Parametric Partial Differential Equations

Reference 72

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unresolved
no resolver link, observed 2026-08-06T23:02:41.373388Z

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