CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws | Paper Citation Record

Observation ba0196c1-0025-4e10-9f5d-703e73efafd8 · outbound

This paper cites Parametric airfoil catalog, Part II: G.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Parametric airfoil catalog, Part II: G

Reference 1

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Observation b6985b18-f27c-43de-aafd-4dc6d3707720 · outbound

This paper cites 2017 , publisher=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws 2017 , publisher=

Reference 2

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Observation fa6ef66b-06dc-44af-b30c-394e2f172305 · outbound

This paper cites 2012 , publisher=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws 2012 , publisher=

Reference 3

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Observation e10ef5d7-cb76-4077-8225-36a5203be874 · outbound

This paper cites Progress in Aerospace Sciences , year=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Progress in Aerospace Sciences , year=

Reference 4

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Observation 57047627-dc4e-4c52-8094-383f2f9e5e52 · outbound

This paper cites Scientific Reports , year=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Scientific Reports , year=

Reference 5

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Observation 5be9f9f3-7108-4192-9cb1-c1d4bf67d19e · outbound

This paper cites , year =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws , year =

Reference 6

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Observation 82caf4ea-45b7-47a2-afb3-8b93cf0267cb · outbound

This paper cites Independent Component Analyses, Wavelets, and Neural Networks , volume=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Independent Component Analyses, Wavelets, and Neural Networks , volume=

Reference 7

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Observation d7bfef97-8ac9-428d-8057-983bbb104dbf · outbound

This paper cites Aerospace Science and Technology , year=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Aerospace Science and Technology , year=

Reference 8

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Observation 7b8889f0-b125-4953-a74f-da2009b6aeb8 · outbound

This paper cites 2018 , journal =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws 2018 , journal =

Reference 9

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Observation 46138833-d38a-4c73-ae4b-3131011a0fbc · outbound

This paper cites Super-resolution reconstruction of turbulent flows with machine learning , volume=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Super-resolution reconstruction of turbulent flows with machine learning , volume=

Reference 10

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Observation 47f2f344-36ba-49c7-a2ea-874d5914297d · outbound

This paper cites A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number , journal =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number , journal =

Reference 11

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Observation 8e61dff6-c757-4ca6-b94e-6a201e213f51 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Journal of Fluid Mechanics , volume=

Reference 12

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Observation 874e9b03-eec7-499e-8b70-78699bdaf043 · outbound

This paper cites U-net architectures for fast prediction of incompressible laminar flows.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws U-net architectures for fast prediction of incompressible laminar flows

Reference 13

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Observation 83e79c60-b3d5-44f6-80cd-4e9495caf0e9 · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 14

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Observation f41e09d9-f88e-499a-8591-485788906d82 · outbound

This paper cites 2017 , journal =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws 2017 , journal =

Reference 15

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Observation f38b6b58-cf9e-40bc-a7bf-2c7cfae74ff1 · outbound

This paper cites 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference , year=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference , year=

Reference 16

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.632290Z

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Observation 0883cb72-c866-4ba6-9abd-14ee6f441de9 · outbound

This paper cites Prediction of aerodynamic flow fields using convolutional neural networks , volume =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Prediction of aerodynamic flow fields using convolutional neural networks , volume =

Reference 17

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Observation 8517032f-8da6-4ca9-883c-2f491e3ce470 · outbound

This paper cites Fast flow field prediction over airfoils using deep learning approach , volume =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Fast flow field prediction over airfoils using deep learning approach , volume =

Reference 18

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.631811Z

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Observation e8b16ffd-b148-46e1-b945-bafc0513d952 · outbound

This paper cites Deep Learning Methods for Reynolds-Averaged.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Deep Learning Methods for Reynolds-Averaged

Reference 19

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Observation 02775b2c-a41f-42a8-abb3-aa69ba951468 · outbound

This paper cites Flow field prediction of supercritical airfoils via variational autoencoder based deep learning framework , volume =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Flow field prediction of supercritical airfoils via variational autoencoder based deep learning framework , volume =

Reference 20

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Observation 7637992c-5ae8-41f2-9f30-efbc960ad488 · outbound

This paper cites CNNFOIL: convolutional encoder decoder modeling for pressure fields around airfoils , volume =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws CNNFOIL: convolutional encoder decoder modeling for pressure fields around airfoils , volume =

Reference 21

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.685958Z

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Observation 7fae520a-4c84-4b18-aa42-0956de94d083 · outbound

This paper cites A generative deep learning framework for airfoil flow field prediction with sparse data , volume =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws A generative deep learning framework for airfoil flow field prediction with sparse data , volume =

Reference 22

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.691624Z

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Observation 985ed1dd-83c9-4621-93be-ffca1d188a1d · outbound

This paper cites The Aeronautical Journal (1968) , year=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws The Aeronautical Journal (1968) , year=

Reference 23

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Observation a4777f95-ec0d-47ef-bf01-dc2bb63e5d38 · outbound

This paper cites A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades

Reference 24

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Observation e3254919-92ad-4f19-973a-2cb72ae343c6 · outbound

This paper cites Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

Reference 25

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Observation acea1906-8153-4ff7-8fce-c83789cf01fc · outbound

This paper cites A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil

Reference 26

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Observation a0028cf1-883a-4d6c-aa22-b96cc553ad58 · outbound

This paper cites Machine learning-based surrogate modeling approaches for fixed-wing store separation.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Machine learning-based surrogate modeling approaches for fixed-wing store separation

Reference 27

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Observation 4343f9c8-74bd-4ba8-a181-1fcd4c6edda8 · outbound

This paper cites U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Observation ce741224-3780-4e39-9c38-c7387569ce55 · outbound

This paper cites Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective

Reference 29

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Observation 2a157e54-3c09-4137-a2c4-d56ea08459ac · outbound

This paper cites , year =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws , year =

Reference 30

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Observation 9ac37141-1974-4839-925e-31791bd42232 · outbound

This paper cites Communications in Computational Physics , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Communications in Computational Physics , author =

Reference 31

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Observation 22333c70-f6cc-46f0-aa3f-c0b01fc17465 · outbound

This paper cites arXiv.org , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws arXiv.org , author =

Reference 32

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Observation b37d063c-5fcb-4525-847b-588945b07c85 · outbound

This paper cites Neural fields for rapid aircraft aerodynamics simulations , volume =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Neural fields for rapid aircraft aerodynamics simulations , volume =

Reference 33

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.664861Z

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Observation 9f1f2260-9a04-448f-907a-92b46d4e56d6 · outbound

This paper cites X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation

Reference 34

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Observation 27a5c133-f8a5-426c-9ba2-7e89afbdaf73 · outbound

This paper cites Computers & Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Computers & Fluids , author =

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-11T19:58:13.642675Z

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Observation ebce835b-5e25-4a75-abd6-2c12df916f35 · outbound

This paper cites Physics of Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Physics of Fluids , author =

Reference 36

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.692400Z

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Observation dd6cf5b2-1e3c-46d6-8d6d-9e9ab607a31c · outbound

This paper cites Physics-informed neural networks for solving moving interface flow problems using the level set approach , url =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Physics-informed neural networks for solving moving interface flow problems using the level set approach , url =

Reference 37

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Observation 919eabc6-a0af-4a8b-8862-5a0c322ad90b · outbound

This paper cites NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning

Reference 38

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Observation 7998b886-572d-4d72-8c83-379477458b83 · outbound

This paper cites International Mechanical Engineering Congress and Exposition-India , volume=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws International Mechanical Engineering Congress and Exposition-India , volume=

Reference 39

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Observation 15df7452-372b-4648-a3b6-41398928be28 · outbound

This paper cites Extended Interface Physics-Informed Neural Networks Method for Moving Interface Problems.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Extended Interface Physics-Informed Neural Networks Method for Moving Interface Problems

Reference 40

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Observation 580f0842-f18f-41ba-87a3-9270f4a154bd · outbound

This paper cites Computers & Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Computers & Fluids , author =

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-11T19:58:13.688027Z

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Observation 886c5c79-afc2-4a22-95f1-c719777b49d7 · outbound

This paper cites Heliyon , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Heliyon , author =

Reference 42

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.723251Z

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Observation d4cb9ed4-ff31-41f9-8aae-0dcabf6fff0e · outbound

This paper cites Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Fluids , author =

Reference 43

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.668026Z

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Observation 41d7bc84-f554-49fc-beb6-b6c7a2925efb · outbound

This paper cites Journal of Computational Physics , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Journal of Computational Physics , author =

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-11T19:58:13.713557Z

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Observation 2d356a0f-1944-4cb9-9f9f-403a9c2cddcf · outbound

This paper cites Physics of Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Physics of Fluids , author =

Reference 45

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.656600Z

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Observation 7c78a09e-0527-41ee-a1e1-73173b781436 · outbound

This paper cites Applied Sciences , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Applied Sciences , author =

Reference 46

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.646983Z

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Observation 5aaff1d3-53a6-45bb-b313-731dacf6649d · outbound

This paper cites Aerospace Science and Technology , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Aerospace Science and Technology , author =

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-11T19:58:13.742989Z

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Observation 66292df7-6f16-4bb6-99fe-99a0c78060e8 · outbound

This paper cites AIAA Journal , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws AIAA Journal , author =

Reference 48

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.651784Z

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Observation ba7cb533-6444-4950-9d84-d507d3ef4c31 · outbound

This paper cites Entropy , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Entropy , author =

Reference 49

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.727734Z

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Observation 5d683c5c-437f-40b0-81a5-ecca30e71704 · outbound

This paper cites Applied Sciences , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Applied Sciences , author =

Reference 50

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.718548Z

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Observation f0e2e68c-648d-4d75-a7d0-d78b08ab3b75 · outbound

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CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws 2024 , author =

Reference 51

Resolution: parse uncertain; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Observation 8745f37a-596b-4a11-91d1-1371dfa5e668 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Computer Methods in Applied Mechanics and Engineering , author =

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-11T19:58:13.701295Z

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Observation f5b1ecf4-e422-4cb2-ba0a-9f6b1041eb66 · outbound

This paper cites Physics of Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Physics of Fluids , author =

Reference 53

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.641125Z

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Observation c8c809f8-c51f-44dd-bf15-93caf41de186 · outbound

This paper cites Physics of Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Physics of Fluids , author =

Reference 54

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.702942Z

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Observation 0794d6b9-0353-425b-a5ef-242e3155514d · outbound

This paper cites Physics of Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Physics of Fluids , author =

Reference 55

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.746061Z

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Observation e47fc17f-82de-4415-ac22-3063e8e03890 · outbound

This paper cites Computers & Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Computers & Fluids , author =

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-11T19:58:13.732723Z

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Observation f1bc8baa-fb45-4afb-bb62-1365aef85931 · outbound

This paper cites International Journal for Numerical Methods in Fluids , author =.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws International Journal for Numerical Methods in Fluids , author =

Reference 57

Resolution: verified exact; doi, observed 2026-07-11T19:58:13.660821Z

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Reference 58

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CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Energies , volume =

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Reference 60

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Reference 61

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Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Reference 63

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Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Reference 65

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Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Unavailable: canonical work link unavailable.

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CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws International Journal of Computational Fluid Dynamics , volume=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Unavailable: canonical work link unavailable.

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CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws International Conference on Learning Representations (ICLR) , year=

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

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Unavailable: canonical work link unavailable.

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This paper cites International Conference on Learning Representations , year=.

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws International Conference on Learning Representations , year=

Reference 69

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Unavailable: canonical work link unavailable.

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CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws Low Reynolds Number Aerodynamics , year =

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-11T19:51:56.544026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers