PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations | Paper Citation Record

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This paper cites Challenges and opportunities in numerical weather prediction.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Challenges and opportunities in numerical weather prediction

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This paper cites The virtual physiological human: ten years after.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The virtual physiological human: ten years after

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This paper cites Agent-based models of financial markets.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Agent-based models of financial markets

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This paper cites The finite element method for solid and structural mechanics.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The finite element method for solid and structural mechanics

Reference 4

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This paper cites Numerical recipes 3rd edition: The art of scientific computing.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Numerical recipes 3rd edition: The art of scientific computing

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This paper cites The finite element method in engineering science, volume 1977.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The finite element method in engineering science, volume 1977

Reference 6

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This paper cites Random forests.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Random forests

Reference 7

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This paper cites Williams and C.E.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Williams and C.E

Reference 8

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This paper cites UQLab: A Framework for Uncertainty Quantification in Matlab, pages 2554–2563.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations UQLab: A Framework for Uncertainty Quantification in Matlab, pages 2554–2563

Reference 9

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This paper cites OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation, pages 1–38.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation, pages 1–38

Reference 10

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Unresolved cited work

Reference 12

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This paper cites Design optimization using hyper-reduced-order models.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Design optimization using hyper-reduced-order models

Reference 13

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This paper cites Casenave, N.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Casenave, N

Reference 14

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This paper cites Daniel, F.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Daniel, F

Reference 15

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This paper cites Model reduction of dynamical systems on nonlinear mani- folds using deep convolutional autoencoders.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Model reduction of dynamical systems on nonlinear mani- folds using deep convolutional autoencoders

Reference 16

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This paper cites A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Reference 17

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This paper cites Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity

Reference 18

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This paper cites MMGP: a Mesh Morphing Gaus- sian Process-based machine learning method for regression of physical problems under non- parametrized geometrical variability.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MMGP: a Mesh Morphing Gaus- sian Process-based machine learning method for regression of physical problems under non- parametrized geometrical variability

Reference 19

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This paper cites Elasticity-based morphing technique and application to reduced-order modeling.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Elasticity-based morphing technique and application to reduced-order modeling

Reference 20

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This paper cites O-MMGP: Optimal Mesh Morphing Gaussian Process regression for solving PDEs with non-parametric geometric variations.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations O-MMGP: Optimal Mesh Morphing Gaussian Process regression for solving PDEs with non-parametric geometric variations

Reference 21

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This paper cites Learning signals defined on graphs with optimal transport and Gaussian process regression, 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Learning signals defined on graphs with optimal transport and Gaussian process regression, 2025

Reference 22

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This paper cites Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels

Reference 23

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This paper cites Gilmer, S.S.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Gilmer, S.S

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This paper cites Pfaff, M.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Pfaff, M

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This paper cites MultiScale MeshGraphNets.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MultiScale MeshGraphNets

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This paper cites Physical Design using Differentiable Learned Simulators.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Physical Design using Differentiable Learned Simulators

Reference 27

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This paper cites Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks

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This paper cites Baque, E.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Baque, E

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This paper cites Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks

Reference 30

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This paper cites Nvidia physicsnemo: An open-source framework for physics-based deep learning in science and engineering.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Nvidia physicsnemo: An open-source framework for physics-based deep learning in science and engineering

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Towards a foundation model for partial differential equations: Multioperator learning and extrapolation

Reference 36

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Multiple physics pretraining for spatiotemporal surrogate models

Reference 37

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Multiple physics pretraining for physical surrogate models, 2024

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This paper cites Omnijet-α: the first cross-task foundation model for particle physics.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Omnijet-α: the first cross-task foundation model for particle physics

Reference 39

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations GPT-4 Technical Report

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations LLaMA: Open and efficient founda- tion language models, 2023

Reference 42

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This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The Pile: An 800GB Dataset of Diverse Text for Language Modeling

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations LLMDataHub: Awesome Datasets for LLM Training, 2023

Reference 46

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Datasets for large language models: A comprehensive survey, 2024

Reference 47

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Laion- 5b: An open large-scale dataset for training next generation image-text models

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Vision datasets: A benchmark for vision-based industrial inspection, 2023

Reference 49

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Panda-70m: Captioning 70m videos with multiple cross-modality teachers, 2024

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Pdebench: An extensive benchmark for scientific machine learning

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 52

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Benchmarking autoregressive conditional diffusion models for turbulent flow simulation

Reference 54

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This paper cites Airfrans: High fidelity computational fluid dynamics dataset for approximating reynolds-averaged navier–stokes solutions.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Airfrans: High fidelity computational fluid dynamics dataset for approximating reynolds-averaged navier–stokes solutions

Reference 55

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations La- grangebench: A lagrangian fluid mechanics benchmarking suite

Reference 56

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PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The era5 global reanalysis

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.344934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30b7c2a4-c399-44ed-a6c9-68cfa0f69ca2 · outbound

This paper cites David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, and Michael Pritchard.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, and Michael Pritchard

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.327793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a4309dc-73d4-4d4d-9e52-b1f009dfb095 · outbound

This paper cites Eagle: Large-scale learning of turbulent fluid dynamics with mesh transformers.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Eagle: Large-scale learning of turbulent fluid dynamics with mesh transformers

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.311731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6a6a25c-fcdf-4897-8633-475dbbfb357b · outbound

This paper cites BubbleML: A multi-physics dataset and benchmarks for machine learning.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations BubbleML: A multi-physics dataset and benchmarks for machine learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.296028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a3c9e346-7184-40b8-bcc5-f14e7a4678eb · outbound

This paper cites Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.279159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c22bcd04-70f7-4ab6-9133-d3bf39c03497 · outbound

This paper cites Drivaerml: High-fidelity computational fluid dynamics dataset for road-car external aerodynamics, 2024.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Drivaerml: High-fidelity computational fluid dynamics dataset for road-car external aerodynamics, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.262535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b496cd1-da40-4fd1-ba8a-a4fa31016481 · outbound

This paper cites The well: a large-scale collection of diverse physics simulations for machine learning.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The well: a large-scale collection of diverse physics simulations for machine learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.122056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8b7e60-34cb-488d-9bdf-fe18eeed103c · outbound

This paper cites PLAID: Physics Learning AI Datamodel.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations PLAID: Physics Learning AI Datamodel

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.234856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abd99f47-b03f-4339-b02f-33cdd30f6000 · outbound

This paper cites Seven keys for practical understanding and use of cgns.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Seven keys for practical understanding and use of cgns

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.218933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1fa13d2-ef0b-4c30-8787-16cedab892eb · outbound

This paper cites huggingface/datasets: 2.8.0, December 2022.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations huggingface/datasets: 2.8.0, December 2022

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.202272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9038c418-d1e6-4782-8332-ca5a87aa7fec · outbound

This paper cites MUSCAT: Mesh Utilities and Solver for Computational Analysis Toolkit.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MUSCAT: Mesh Utilities and Solver for Computational Analysis Toolkit

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.185462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2c37998-740c-45b7-8f9f-c5a84caceb42 · outbound

This paper cites Basictools: a numerical simulation toolbox.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Basictools: a numerical simulation toolbox

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.144905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dab6872-3bd6-45d8-b1ac-6908675c0159 · outbound

This paper cites Tensile2d: 2D quasistatic non-linear structural mechanics solutions, under geometrical variations , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Tensile2d: 2D quasistatic non-linear structural mechanics solutions, under geometrical variations , February 2025

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.157917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d403c817-6743-4cc4-815f-cb15c46743b3 · outbound

This paper cites Zset: nonlinear material & structure analysis suite.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Zset: nonlinear material & structure analysis suite

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.140557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da4bd49f-37b0-4767-808b-4d2268a49172 · outbound

This paper cites 2D_Multiscale_Hyperelasticity: a 2D quasistatic non-linear structural mechanics with finite elasticity and topology variations , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations 2D_Multiscale_Hyperelasticity: a 2D quasistatic non-linear structural mechanics with finite elasticity and topology variations , February 2025

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.124024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0e07696-8c1d-4ff2-bc4d-98962dfb585d · outbound

This paper cites Baratta, Joseph P.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Baratta, Joseph P

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.165285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb16bfc-b947-4b8a-a27a-5dccbcb99b14 · outbound

This paper cites Computational homogenization of heterogeneous materials with finite ele- ments, volume 258.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Computational homogenization of heterogeneous materials with finite ele- ments, volume 258

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.094976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 90f3c5ae-939b-4e52-b80b-9477b3f01cfe · outbound

This paper cites 2D_ElastoPlastoDynamics: 2D dynamic non-linear structural mechanics dataset, with a non-linear non-local constitutive law , April 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations 2D_ElastoPlastoDynamics: 2D dynamic non-linear structural mechanics dataset, with a non-linear non-local constitutive law , April 2025

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.078112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5bd4dfe0-db88-4232-a132-ab6e470e1f56 · outbound

This paper cites Openradioss: Open-source finite element solver for dynamic event analysis, 2022.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Openradioss: Open-source finite element solver for dynamic event analysis, 2022

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.060595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 602f894b-da99-4477-b808-ed7fc8b0be4b · outbound

This paper cites Rotor37: a 3D CFD RANS dataset, under geometrical variations of a compressor blade , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Rotor37: a 3D CFD RANS dataset, under geometrical variations of a compressor blade , February 2025

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.044210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69ee70b1-2821-4a61-8415-d031527c627e · outbound

This paper cites The onera elsa cfd software: input from research and feedback from industry.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations The onera elsa cfd software: input from research and feedback from industry

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.027602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2520345-7c24-4cb7-b806-98f68ed7b76d · outbound

This paper cites 2D_profile: 2D external aero CFD RANS dataset, under geometrical variations , April 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations 2D_profile: 2D external aero CFD RANS dataset, under geometrical variations , April 2025

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:30.009576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5df69131-8c29-4e0c-9eb1-c7e2b1595de3 · outbound

This paper cites VKI-LS59: a 2D internal aero CFD RANS dataset, under geometrical variations , February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations VKI-LS59: a 2D internal aero CFD RANS dataset, under geometrical variations , February 2025

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.992059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cdc9a93b-5978-4baa-b819-e17e10adb9db · outbound

This paper cites Broadcast: A high-order compressible cfd toolbox for stability and sensitivity using algorithmic differentia- tion.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Broadcast: A high-order compressible cfd toolbox for stability and sensitivity using algorithmic differentia- tion

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.973741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c018856-6083-4bc2-b20e-fcca97faa898 · outbound

This paper cites AirfRANS_original, February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations AirfRANS_original, February 2025

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.957364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9f4ca689-bad4-4882-abb5-b4a546479d6d · outbound

This paper cites AirfRANS_clipped, February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations AirfRANS_clipped, February 2025

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.941384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2d1e8449-f35d-4aa1-9c69-c95a97ef01a9 · outbound

This paper cites AirfRANS_remeshed, February 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations AirfRANS_remeshed, February 2025

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.923841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fda44f7b-1467-4901-92ec-9c59a580d965 · outbound

This paper cites ML4CFD Competition: Restrospec- tive Analysis.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations ML4CFD Competition: Restrospec- tive Analysis

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.904113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d62dc50-faf1-4523-893a-324ca420401b · outbound

This paper cites Domain Agnostic Fourier Neural Operators, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Domain Agnostic Fourier Neural Operators, 2023

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.876749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cd6450ba-475d-4272-a120-041e470d3fb0 · outbound

This paper cites MARIO: Multiscale Aerodynamic Resolution Invariant Operator, 2025.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations MARIO: Multiscale Aerodynamic Resolution Invariant Operator, 2025

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.858773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af3b6a27-2065-439f-94da-a3ed6eee57ee · outbound

This paper cites Neural fields for rapid aircraft aerodynamics simulations.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Neural fields for rapid aircraft aerodynamics simulations

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.241041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a6b9f52-7287-40c0-8f24-4fc5a0f688f8 · outbound

This paper cites Kipf and Max Welling.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Kipf and Max Welling

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.245639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941af3ba-a87e-49e1-9310-d31a94c18145 · outbound

This paper cites Morphing techniques for model order reduction with non parametric geometrical variabilities.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Morphing techniques for model order reduction with non parametric geometrical variabilities

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.250143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8571c6a8-85a4-4d48-9aba-8274deaa1fe2 · outbound

This paper cites Learning latent representations in high- dimensional state spaces using polynomial manifold constructions.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Learning latent representations in high- dimensional state spaces using polynomial manifold constructions

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.807173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 811745d2-0fd5-4cfe-8ad0-095187db9c5a · outbound

This paper cites Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.790149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3af258d7-3c02-465b-8e66-bda097ddbb9e · outbound

This paper cites Reformer: The Efficient Transformer.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Reformer: The Efficient Transformer

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.264510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 796c2621-bd36-4ed4-a558-39f74616ba44 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Linformer: Self-Attention with Linear Complexity

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.269622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665a242c-6398-4165-bf0e-b39e3832910d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.274405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd892b8-a78c-412e-ae85-98d697900708 · outbound

This paper cites Transformer based contextual model for sentiment analysis of customer reviews: A fine-tuned bert.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Transformer based contextual model for sentiment analysis of customer reviews: A fine-tuned bert

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.773879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e50bf307-279c-4617-820b-9cce4478cb2d · outbound

This paper cites An improved transformer-based model for detecting phishing, spam, and ham: A large language model approach, 2023.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations An improved transformer-based model for detecting phishing, spam, and ham: A large language model approach, 2023

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.757956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 81ab9740-e013-40bd-9fa2-673114352b2b · outbound

This paper cites Revisiting transformer-based models for long document classification, 2022.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Revisiting transformer-based models for long document classification, 2022

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.742432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b829641a-9307-40f1-8537-0fedc386dbb4 · outbound

This paper cites Alvarez, and Ping Luo.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Alvarez, and Ping Luo

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.294889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9b979f-e492-40b9-a5a2-bfc53e40ed9e · outbound

This paper cites Point transformer, 2021.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Point transformer, 2021

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:29.299745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28316f49-cbe7-4a4a-985c-bca6db36c3f3 · outbound

This paper cites Transcfd: A transformer-based decoder for flow field prediction.

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations Transcfd: A transformer-based decoder for flow field prediction

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:29.705805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers