Inverse Design with Dynamic Mode Decomposition | Paper Citation Record

Observation c9e09b14-18a3-44cc-b0cb-fb51fb93c89b · outbound

This paper cites Springer, 1966.

Inverse Design with Dynamic Mode Decomposition Springer, 1966

Reference 1

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Observation 5add5f66-21ed-4fc4-a5e9-bd39d2ed4287 · outbound

This paper cites Engineering design optimization.

Inverse Design with Dynamic Mode Decomposition Engineering design optimization

Reference 2

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Observation a5cd1718-ab5a-49cf-b4af-461b8cd29d8d · outbound

This paper cites Concepts and applications of finite element analysis.

Inverse Design with Dynamic Mode Decomposition Concepts and applications of finite element analysis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.143220Z

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Observation fa029e6c-cb29-4a7d-ab4f-4ff8d194cfa1 · outbound

This paper cites Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques.

Inverse Design with Dynamic Mode Decomposition Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.132001Z

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Observation 0abe56f1-85c5-48c3-908e-4571b9aff98e · outbound

This paper cites Modelling and design integration for engineering systems.

Inverse Design with Dynamic Mode Decomposition Modelling and design integration for engineering systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.121086Z

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Observation 3a4ccdee-eeb4-4386-880f-266403929716 · outbound

This paper cites Physics-informed neural networks with hard constraints for inverse design.

Inverse Design with Dynamic Mode Decomposition Physics-informed neural networks with hard constraints for inverse design

Reference 6

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Observation 8a97cbda-cee6-4fe4-8b78-61fd254b54dd · outbound

This paper cites Fourier neural operator with learned defor- mations for pdes on general geometries.

Inverse Design with Dynamic Mode Decomposition Fourier neural operator with learned defor- mations for pdes on general geometries

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.104080Z

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Observation ad8bb2b3-39e6-4c57-b58b-0e0d7cdb7e4e · outbound

This paper cites Physical Design using Differentiable Learned Simulators.

Inverse Design with Dynamic Mode Decomposition Physical Design using Differentiable Learned Simulators

Reference 8

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Observation 43da3c4c-fcec-462a-a144-e5b2338bcd71 · outbound

This paper cites Aerodynamic shape optimization using a novel optimizer based on machine learning techniques.

Inverse Design with Dynamic Mode Decomposition Aerodynamic shape optimization using a novel optimizer based on machine learning techniques

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.092831Z

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Observation 2f4341d2-3507-4fd9-9dfd-900516d0646a · outbound

This paper cites Finite difference methods for ordinary and partial differential equations: steady-state and time- dependent problems.

Inverse Design with Dynamic Mode Decomposition Finite difference methods for ordinary and partial differential equations: steady-state and time- dependent problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.080847Z

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Observation f939a103-7f81-466b-a8b3-fd3b5f5cbcd3 · outbound

This paper cites Finite and boundary element methods in engineering.

Inverse Design with Dynamic Mode Decomposition Finite and boundary element methods in engineering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.068767Z

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Observation 41fe4bca-e576-4e61-860c-d71c0e907fd1 · outbound

This paper cites Optimization for engineering design: Algorithms and examples.

Inverse Design with Dynamic Mode Decomposition Optimization for engineering design: Algorithms and examples

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.057665Z

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Observation c7242f96-e888-41a4-add4-a41944d3a96d · outbound

This paper cites Reduced order model based on principal component analysis for process simulation and optimization.

Inverse Design with Dynamic Mode Decomposition Reduced order model based on principal component analysis for process simulation and optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.046111Z

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Observation bebf6e23-b583-4b93-b16b-74e56e426700 · outbound

This paper cites A pod-based reduced order design scheme for shape optimization of air vehicles.

Inverse Design with Dynamic Mode Decomposition A pod-based reduced order design scheme for shape optimization of air vehicles

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.034405Z

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Observation 0816365f-910e-44ff-ba59-4372eaa02cb8 · outbound

This paper cites Recent advances in convolutional neural networks.

Inverse Design with Dynamic Mode Decomposition Recent advances in convolutional neural networks

Reference 15

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Observation 8f924fec-41c6-4ef3-bab2-ac31ea110a55 · outbound

This paper cites Reinforcement learning: An introduction.

Inverse Design with Dynamic Mode Decomposition Reinforcement learning: An introduction

Reference 16

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Observation 597f9e2e-99b0-4f5b-bf6a-7433f0854263 · outbound

This paper cites Deepmpc: Learning deep latent features for model predictive control.

Inverse Design with Dynamic Mode Decomposition Deepmpc: Learning deep latent features for model predictive control

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:03.010372Z

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Observation 091d4797-ac88-4c15-a6aa-3d1011cf28dc · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.

Inverse Design with Dynamic Mode Decomposition A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.381389Z

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Observation 837173af-ba0f-4d49-8aa9-782682bf33ae · outbound

This paper cites Reinforcement learning in robotics: A survey.

Inverse Design with Dynamic Mode Decomposition Reinforcement learning in robotics: A survey

Reference 19

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Observation f9c68db2-979b-439c-9f0d-538c8a1ad46e · outbound

This paper cites Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms.

Inverse Design with Dynamic Mode Decomposition Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.985705Z

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Observation 9d48a051-2473-44b4-be29-152ece15d4e9 · outbound

This paper cites Distilling free-form natural laws from experimental data.

Inverse Design with Dynamic Mode Decomposition Distilling free-form natural laws from experimental data

Reference 21

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Observation 6bbe743f-ce77-4781-b73c-b911c4ebe1bc · outbound

This paper cites Trans- formers in vision: A survey.

Inverse Design with Dynamic Mode Decomposition Trans- formers in vision: A survey

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.968861Z

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Observation d7a8974b-f6be-4661-90ea-b50669a738ca · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Inverse Design with Dynamic Mode Decomposition On the Opportunities and Risks of Foundation Models

Reference 23

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Observation 9dcf2121-0372-4a78-bf0d-07a38380fdd6 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Inverse Design with Dynamic Mode Decomposition Transformers: State-of-the-art natural language processing

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.956906Z

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Observation f773edf6-049d-4204-90a5-72804504bf47 · outbound

This paper cites Squeezeformer: An efficient transformer for automatic speech recognition.

Inverse Design with Dynamic Mode Decomposition Squeezeformer: An efficient transformer for automatic speech recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.946489Z

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Observation cd6e4772-9798-4616-a950-a671e1150d1a · outbound

This paper cites Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport.

Inverse Design with Dynamic Mode Decomposition Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.408791Z

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Observation 673ce5d3-338f-45ce-a3fd-7a3f7ae24a55 · outbound

This paper cites Neural implicit flow: a mesh-agnostic dimensionality reduction 28 paradigm of spatio-temporal data.

Inverse Design with Dynamic Mode Decomposition Neural implicit flow: a mesh-agnostic dimensionality reduction 28 paradigm of spatio-temporal data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.929715Z

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Observation 9d2d3861-5b9e-4774-a09d-194db4bc5d7b · outbound

This paper cites Deep neural operators as accurate surrogates for shape optimization.

Inverse Design with Dynamic Mode Decomposition Deep neural operators as accurate surrogates for shape optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.919303Z

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Observation e035ca0d-54a0-4de3-a33b-b0b493ca4e2e · outbound

This paper cites On universal approximation and error bounds for fourier neural operators.

Inverse Design with Dynamic Mode Decomposition On universal approximation and error bounds for fourier neural operators

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.908084Z

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Observation 5b412657-d3e9-4d2e-b857-737b97bedadc · outbound

This paper cites A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data.

Inverse Design with Dynamic Mode Decomposition A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.423446Z

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Observation f0958c1b-0b49-4880-969d-bd0cbaf26e69 · outbound

This paper cites Blending neural operators and relaxation methods in pde numerical solvers.

Inverse Design with Dynamic Mode Decomposition Blending neural operators and relaxation methods in pde numerical solvers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.890454Z

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Observation f5bb39c4-456d-4843-b2f5-2642e59fb919 · outbound

This paper cites Data-driven science and engineering: Machine learning, dynamical systems, and control.

Inverse Design with Dynamic Mode Decomposition Data-driven science and engineering: Machine learning, dynamical systems, and control

Reference 32

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Observation d24e0d14-77a7-45fd-b195-9e8c677c40a2 · outbound

This paper cites Dynamic mode decomposition: Theory and applications.

Inverse Design with Dynamic Mode Decomposition Dynamic mode decomposition: Theory and applications

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.873316Z

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Observation cadd4166-6df5-46b8-be7a-e35a9abb98dc · outbound

This paper cites Dynamic mode decomposition with control.

Inverse Design with Dynamic Mode Decomposition Dynamic mode decomposition with control

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.437136Z

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Observation 613cb1d3-3007-4071-893a-5cd43f0869e1 · outbound

This paper cites Deep learning for universal linear embeddings of nonlinear dynamics.

Inverse Design with Dynamic Mode Decomposition Deep learning for universal linear embeddings of nonlinear dynamics

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.440707Z

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Observation c43644a1-7a41-43c9-8ec8-eab84fa60b73 · outbound

This paper cites Dynamic mode decomposition and reconstruction of tip leakage vortex in a mixed flow pump as turbine at pump mode.

Inverse Design with Dynamic Mode Decomposition Dynamic mode decomposition and reconstruction of tip leakage vortex in a mixed flow pump as turbine at pump mode

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.850141Z

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Observation ef30a5d6-3350-433d-be18-4400d844d90b · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems.

Inverse Design with Dynamic Mode Decomposition A survey of projection-based model reduction methods for parametric dynamical systems

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.448742Z

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Observation 1ccebc6c-2bba-49ff-90fa-5e17b26addef · outbound

This paper cites Compressed sensing and dynamic mode decomposition.

Inverse Design with Dynamic Mode Decomposition Compressed sensing and dynamic mode decomposition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.832083Z

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Observation 0c0ebc1f-081e-49f0-bc18-50a496d1a731 · outbound

This paper cites Applied koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems.

Inverse Design with Dynamic Mode Decomposition Applied koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.820301Z

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Observation 0a0373a7-f35a-4add-ad8c-1414222f3717 · outbound

This paper cites Design of nonlinear systems in the frequency domain: an output frequency response function-based approach.

Inverse Design with Dynamic Mode Decomposition Design of nonlinear systems in the frequency domain: an output frequency response function-based approach

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.808790Z

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Observation d65d8020-f382-4953-a9c2-c03fb527690f · outbound

This paper cites Design of a morphing airfoil using aerodynamic shape optimization.

Inverse Design with Dynamic Mode Decomposition Design of a morphing airfoil using aerodynamic shape optimization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.797379Z

Source-reported events for the cited work

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Observation 82d95a52-6691-457f-9081-ac9070df13f2 · outbound

This paper cites Airfoil optimisation for vertical-axis wind turbines with variable pitch.

Inverse Design with Dynamic Mode Decomposition Airfoil optimisation for vertical-axis wind turbines with variable pitch

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.786546Z

Source-reported events for the cited work

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Observation b16ea8df-af02-4444-a067-0472f133075d · outbound

This paper cites Bagging, optimized dynamic mode decomposition for robust, stable forecasting with spatial and temporal uncertainty quantification.

Inverse Design with Dynamic Mode Decomposition Bagging, optimized dynamic mode decomposition for robust, stable forecasting with spatial and temporal uncertainty quantification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.775956Z

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Observation 30f41704-1ebb-4231-a9ae-8729ab09df06 · outbound

This paper cites Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions.

Inverse Design with Dynamic Mode Decomposition Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.474060Z

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Observation 4c6b16dd-cfcf-4c74-829e-480b1f6fd7cc · outbound

This paper cites pylom: A hpc open source reduced order model suite for fluid dynamics applications.

Inverse Design with Dynamic Mode Decomposition pylom: A hpc open source reduced order model suite for fluid dynamics applications

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.759273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 510733b2-1d41-4c7b-897e-0cc6d84b4f52 · outbound

This paper cites Learning the solution operator of parametric partial differential equations with physics-informed deeponets.

Inverse Design with Dynamic Mode Decomposition Learning the solution operator of parametric partial differential equations with physics-informed deeponets

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.481596Z

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Observation ea65694d-c503-4a8b-91de-37e15d9fe891 · outbound

This paper cites Theoretical study of the effects of nonlinear viscous damping on vibration isolation of sdof systems.

Inverse Design with Dynamic Mode Decomposition Theoretical study of the effects of nonlinear viscous damping on vibration isolation of sdof systems

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.741455Z

Source-reported events for the cited work

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Observation 44af6365-4aa8-4676-81fd-4cf4e77b063b · outbound

This paper cites Beneficial effects of antisymmetric nonlinear damping with application to energy harvesting and vibration isolation under general inputs.

Inverse Design with Dynamic Mode Decomposition Beneficial effects of antisymmetric nonlinear damping with application to energy harvesting and vibration isolation under general inputs

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.730059Z

Source-reported events for the cited work

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Observation e08cb379-04ec-40c2-a49a-324635dc88dc · outbound

This paper cites Learning koopman invariant subspaces for dynamic mode decomposition.

Inverse Design with Dynamic Mode Decomposition Learning koopman invariant subspaces for dynamic mode decomposition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.719764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efab16ee-1c54-444e-bfb5-3f3b4e403c74 · outbound

This paper cites Response surface methodology.

Inverse Design with Dynamic Mode Decomposition Response surface methodology

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.708483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f5a83b4-80f4-428c-9fe9-8d44adde2648 · outbound

This paper cites Robustness issues of the best linear approximation of a nonlinear system.

Inverse Design with Dynamic Mode Decomposition Robustness issues of the best linear approximation of a nonlinear system

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.696329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9accdf66-37bf-4297-a09a-611dad5d9d21 · outbound

This paper cites Parametric dynamic mode decomposition for reduced order modeling.

Inverse Design with Dynamic Mode Decomposition Parametric dynamic mode decomposition for reduced order modeling

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.684618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 091e7460-f933-449d-8894-d5b55681e248 · outbound

This paper cites A dynamic mode decomposition extension for the forecasting of parametric dynamical systems.

Inverse Design with Dynamic Mode Decomposition A dynamic mode decomposition extension for the forecasting of parametric dynamical systems

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.672348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62a3ebb0-9ed6-4017-919c-15d90168ac67 · outbound

This paper cites The optimal hard threshold for singular values is 4 / √.

Inverse Design with Dynamic Mode Decomposition The optimal hard threshold for singular values is 4 / √

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.660187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49f4ab59-340d-4cbc-8fda-88fe0bb97b43 · outbound

This paper cites an unresolved cited work.

Inverse Design with Dynamic Mode Decomposition Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T21:24:02.648426Z

Source-reported events for the cited work

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Observation 09c8f70f-a131-4c17-8af7-76ff116a9a3d · outbound

This paper cites Dynamic mode decomposition of numerical and experimental data.

Inverse Design with Dynamic Mode Decomposition Dynamic mode decomposition of numerical and experimental data

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T21:24:02.516026Z

Source-reported events for the cited work

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Observation 809fc084-b87d-44ee-b95d-4f16ea15601b · outbound

This paper cites A better measure of relative prediction accuracy for model selection and model estimation.

Inverse Design with Dynamic Mode Decomposition A better measure of relative prediction accuracy for model selection and model estimation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.629876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49e3f201-5ab8-4c0b-bc60-0d697b67c210 · outbound

This paper cites Lattice-boltzmann method for complex flows.

Inverse Design with Dynamic Mode Decomposition Lattice-boltzmann method for complex flows

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.618410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 424d919c-150b-485e-9a40-6c16d1dabb36 · outbound

This paper cites The design of nonlinear damped building isolation systems by using mobility analysis.

Inverse Design with Dynamic Mode Decomposition The design of nonlinear damped building isolation systems by using mobility analysis

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.607002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a430474-ee1f-4d30-a072-f4f09f5f3891 · outbound

This paper cites The 2d lid-driven cavity problem revisited.

Inverse Design with Dynamic Mode Decomposition The 2d lid-driven cavity problem revisited

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.596106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dee4cafc-d455-48b4-940a-b9de1ca247ac · outbound

This paper cites Output frequency characteristics of nonlinear systems.

Inverse Design with Dynamic Mode Decomposition Output frequency characteristics of nonlinear systems

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:24:02.584568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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