Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates | Paper Citation Record

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This paper cites Computational design of the basic dynamical processes of the ucla general circulation model.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Computational design of the basic dynamical processes of the ucla general circulation model

Reference 1

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Reference 2

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Reference 3

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This paper cites M., Turner, R.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates M., Turner, R

Reference 4

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This paper cites Enforcing analytic constraints in neural networks emulating physical systems.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Enforcing analytic constraints in neural networks emulating physical systems

Reference 5

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Observation e3f977b9-218d-4123-ae8c-022e682fe058 · outbound

This paper cites Spherical fourier neural operators: Learning stable dynamics on the sphere.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Spherical fourier neural operators: Learning stable dynamics on the sphere

Reference 6

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Observation 1db48b7d-1048-4bee-af21-b5e2f2806b2a · outbound

This paper cites J., and Welling, M.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates J., and Welling, M

Reference 7

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Reference 8

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Observation 4dae8aec-7958-423e-8b10-1cc8e0dc7fc6 · outbound

This paper cites E., and Welling, M.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates E., and Welling, M

Reference 9

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Observation 5fceb3a1-c0af-49d2-8859-5466ddf49315 · outbound

This paper cites R., Gupta, R., Magee, A.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates R., Gupta, R., Magee, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.699450Z

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Observation 157a03cc-1077-40db-9827-78ec4e1fcbeb · outbound

This paper cites A program to build e (n)-equivariant steerable cnns.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates A program to build e (n)-equivariant steerable cnns

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.686418Z

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Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:14.675115Z

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Observation 0789a90f-d324-455e-aaef-2316e99a8d93 · outbound

This paper cites N., and Ma, J.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates N., and Ma, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.663175Z

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Observation 9233dfc4-d90d-47f8-8841-fdf05b129299 · outbound

This paper cites and Welling, M.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Welling, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.651490Z

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Observation 79b5e36a-30cd-4b61-b342-7fc7d1c64764 · outbound

This paper cites Gauge equivariant convolutional networks and the icosahedral cnn.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Gauge equivariant convolutional networks and the icosahedral cnn

Reference 15

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This paper cites S., Geiger, M., K \"o hler, J., and Welling, M.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates S., Geiger, M., K \"o hler, J., and Welling, M

Reference 16

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Observation a6534924-5a52-4df7-815e-bc8bbd1c2b40 · outbound

This paper cites Lagrangian Neural Networks.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Lagrangian Neural Networks

Reference 17

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Observation 302277ff-dbdd-4055-85ac-70df8753ec33 · outbound

This paper cites Gauge equivariant mesh cnns: Anisotropic convolutions on geometric graphs.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Gauge equivariant mesh cnns: Anisotropic convolutions on geometric graphs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.625304Z

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Observation 8cc34532-9e4d-49fd-a39c-e59a7b365cb3 · outbound

This paper cites S., Manikin, G.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates S., Manikin, G

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.615026Z

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Observation 79beffc5-0d48-4582-8b3d-6dc91e862a75 · outbound

This paper cites Learning so (3) equivariant representations with spherical cnns.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Learning so (3) equivariant representations with spherical cnns

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.603292Z

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Observation ee7b22e4-b7e0-48d7-bb45-320984fe9148 · outbound

This paper cites General covariance data augmentation for neural pde solvers.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates General covariance data augmentation for neural pde solvers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.590772Z

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Observation 201e37e3-d830-4da8-8190-dfc51c918ebf · outbound

This paper cites H., Peri \'c , M., and Street, R.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates H., Peri \'c , M., and Street, R

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.579622Z

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Observation 201159a6-62e2-4d20-aa4a-9ae5a208c834 · outbound

This paper cites Directional message passing for molecular graphs.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Directional message passing for molecular graphs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.568752Z

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Observation 5a4d45a3-2bbb-4346-bace-0703df9948f7 · outbound

This paper cites Learning to optimize multigrid pde solvers.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Learning to optimize multigrid pde solvers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.557299Z

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Observation af341305-62d1-479c-adb1-fdc07e22de69 · outbound

This paper cites Hamiltonian neural networks.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Hamiltonian neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.545299Z

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This paper cites an unresolved cited work.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Unresolved cited work

Reference 26

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Observation 6ec65ab7-8c42-4786-9cc8-3f4cf7f5b3d6 · outbound

This paper cites Group equivariant fourier neural operators for partial differential equations.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Group equivariant fourier neural operators for partial differential equations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.522089Z

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Observation db7083c3-efa0-45e3-ac07-947c0daf7b64 · outbound

This paper cites and Thuerey, N.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Thuerey, N

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.510614Z

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Observation 4d81f30c-282f-4223-9ad9-ce1a61c83908 · outbound

This paper cites and Mitsume, N.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Mitsume, N

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.499458Z

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Observation 1c61652c-a6dd-4b26-a6a1-fef082c7ad0a · outbound

This paper cites Learning neural pde solvers with convergence guarantees.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Learning neural pde solvers with convergence guarantees

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.487778Z

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Observation f62caf99-1564-4d97-9a9c-cd8111435032 · outbound

This paper cites and Greenberg, D.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Greenberg, D

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.475404Z

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This paper cites Openfoam: Open source cfd in research and industry.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Openfoam: Open source cfd in research and industry

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.464311Z

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Observation 6434e390-ff90-4c7e-ac52-9e8483264202 · outbound

This paper cites u ggemann, N., Chegini, F., Cr \.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates u ggemann, N., Chegini, F., Cr \

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.451899Z

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Observation b72d73cd-de97-434c-9995-a70f4fa4bdfd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Adam: A Method for Stochastic Optimization

Reference 34

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This paper cites M., Wessels, D., Valperga, R., Papa, S., Sonke, J.-J., Bekkers, E.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates M., Wessels, D., Valperga, R., Papa, S., Sonke, J.-J., Bekkers, E

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.439333Z

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Observation f4cacd03-fbb5-4938-8584-5fcd198f1417 · outbound

This paper cites A., Alieva, A., Wang, Q., Brenner, M.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates A., Alieva, A., Wang, Q., Brenner, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.427502Z

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Observation 6aac759d-3269-4186-bee5-040f32da4520 · outbound

This paper cites o wer, M., Lottes, J., Rasp, S., D \.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates o wer, M., Lottes, J., Rasp, S., D \

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.415723Z

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Observation efd7689a-017e-496b-bbd8-21abccf90689 · outbound

This paper cites Benchmarking autoregressive conditional diffusion models for turbulent flow simulation.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Benchmarking autoregressive conditional diffusion models for turbulent flow simulation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.403737Z

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

Observation 0e9425c4-3eaf-4e48-b76d-2552a2abe19a · outbound

This paper cites H., Lorenz, S., Gutjahr, O., Haak, H., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Notz, D., et al.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates H., Lorenz, S., Gutjahr, O., Haak, H., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Notz, D., et al

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.392955Z

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Observation c97d56e0-b124-4aff-b0a7-dff10f7f451c · outbound

This paper cites B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A., Anandkumar, A., et al.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A., Anandkumar, A., et al

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.380693Z

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Observation 70d784ae-727f-4b75-9cb9-7384e5d62343 · outbound

This paper cites Long-term predictions of turbulence by implicit u-net enhanced fourier neural operator.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Long-term predictions of turbulence by implicit u-net enhanced fourier neural operator

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.369013Z

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

Observation 96466872-52d6-47d6-bd28-5072aedc4e29 · outbound

This paper cites A., and Cantwell, C.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates A., and Cantwell, C

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.355389Z

Source-reported events for the cited work

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

Observation 81de23a2-aa46-4d8d-8ea0-23d4c48ce4b9 · outbound

This paper cites Pde-refiner: Achieving accurate long rollouts with neural pde solvers.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Pde-refiner: Achieving accurate long rollouts with neural pde solvers

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.342367Z

Source-reported events for the cited work

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

Observation abb759a6-8a71-498d-b90f-4d75ed664482 · outbound

This paper cites How temporal unrolling supports neural physics simulators.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates How temporal unrolling supports neural physics simulators

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.329750Z

Source-reported events for the cited work

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

Observation 9aade8b4-dd6a-408a-afd8-a452c1d2baba · outbound

This paper cites Pde-net 2.0: Learning pdes from data with a numeric-symbolic hybrid deep network.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Pde-net 2.0: Learning pdes from data with a numeric-symbolic hybrid deep network

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.317791Z

Source-reported events for the cited work

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

Observation e36655e7-b2ad-4556-acb8-96411f702823 · outbound

This paper cites G., Paronuzzi, S., Peltier, M., Person, R., Rousset, C., Rynders, S., Samson, G., Téchené, S., Vancoppenolle, M., and Wilson, C.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates G., Paronuzzi, S., Peltier, M., Person, R., Rousset, C., Rynders, S., Samson, G., Téchené, S., Vancoppenolle, M., and Wilson, C

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.305054Z

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

Observation e5705540-c000-43c9-b720-bdca29adb27d · outbound

This paper cites Nemo ocean engine reference manual.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Nemo ocean engine reference manual

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.863750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8bbe180-16cd-40dd-afcc-645215a76516 · outbound

This paper cites Combining model and geostationary satellite data to reconstruct hourly sst field over the mediterranean sea.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Combining model and geostationary satellite data to reconstruct hourly sst field over the mediterranean sea

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.293945Z

Source-reported events for the cited work

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

Observation 92cccf1c-690b-4963-8634-746b5bdb50f6 · outbound

This paper cites and Hakim, A.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Hakim, A

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.281747Z

Source-reported events for the cited work

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

Observation 6f454651-206d-418c-abb2-68b2dea69dc6 · outbound

This paper cites Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:30:13.875291Z

Source-reported events for the cited work

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

Observation 5a848c93-e700-4006-9843-fb6459f9105b · outbound

This paper cites Embedding Hard Physical Constraints in Neural Network Coarse-Graining of 3D Turbulence.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Embedding Hard Physical Constraints in Neural Network Coarse-Graining of 3D Turbulence

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.891465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9d1db5-eb43-4715-9129-343d32e4f599 · outbound

This paper cites K., and Grover, A.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates K., and Grover, A

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.271231Z

Source-reported events for the cited work

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

Observation 48416ddb-4d08-488e-af9f-ac29f03d9b40 · outbound

This paper cites Invariante variationsprobleme.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Invariante variationsprobleme

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.259941Z

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

Observation 9071cb97-2fc4-46ca-b5d2-97fb52edce08 · outbound

This paper cites an unresolved cited work.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.912396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009e5016-3a4f-4753-8e33-f6dc94a626ea · outbound

This paper cites Convolutional neural operators for robust and accurate learning of pdes.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Convolutional neural operators for robust and accurate learning of pdes

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.242441Z

Source-reported events for the cited work

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

Observation 60653113-7976-4041-bd8c-6015a4d90106 · outbound

This paper cites S., Jia, X., Willard, J., Appling, A.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates S., Jia, X., Willard, J., Appling, A

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.230250Z

Source-reported events for the cited work

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

Observation 21ba133e-9340-4460-83e2-5241675498fc · outbound

This paper cites and Valiquette, F.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Valiquette, F

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.218322Z

Source-reported events for the cited work

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

Observation 21554504-d1b1-43d1-8473-d6585788f0a6 · outbound

This paper cites an unresolved cited work.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:14.205579Z

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

Observation 45301de0-1161-492e-8204-9993c2a89bfd · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates U-net: Convolutional networks for biomedical image segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.947257Z

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Observation b83fa8b2-e553-47d5-b0e7-bcf38c580d30 · outbound

This paper cites Clifford group equivariant neural networks.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Clifford group equivariant neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.189199Z

Source-reported events for the cited work

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

Observation 9bddb6d3-7e8a-4165-8b38-594c3d71987b · outbound

This paper cites Learning to simulate complex physics with graph networks.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Learning to simulate complex physics with graph networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.178796Z

Source-reported events for the cited work

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

Observation 185883a4-3c9c-46f3-b2fc-a4001b3c05af · outbound

This paper cites DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.968735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53ab7782-02d8-416b-b3cb-7e95ac06b5cd · outbound

This paper cites M., Portegies, J., Bekkers, E.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates M., Portegies, J., Bekkers, E

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.167644Z

Source-reported events for the cited work

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

Observation c1ab512a-8a92-4004-b517-f824004cee54 · outbound

This paper cites The shifted boundary method for hyperbolic systems: Embedded domain computations of linear waves and shallow water flows.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates The shifted boundary method for hyperbolic systems: Embedded domain computations of linear waves and shallow water flows

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.155725Z

Source-reported events for the cited work

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

Observation b99d21f1-c84f-454f-9fc7-3c39b0fb4579 · outbound

This paper cites an unresolved cited work.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:14.144211Z

Source-reported events for the cited work

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

Observation e49a1064-0fec-47a4-8623-9305aaf36eca · outbound

This paper cites Learned Coarse Models for Efficient Turbulence Simulation.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Learned Coarse Models for Efficient Turbulence Simulation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.998844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2788426b-8314-4eda-a961-673a59f1b286 · outbound

This paper cites M., Tomida, K., White, C.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates M., Tomida, K., White, C

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:13.082112Z

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Unavailable: canonical work link unavailable.

Observation 8fbe54ae-4504-48f6-9c6d-6a8ebf170687 · outbound

This paper cites A neural pde solver with temporal stencil modeling.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates A neural pde solver with temporal stencil modeling

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.133280Z

Source-reported events for the cited work

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

Observation 796ac7ef-0137-46ca-8e09-af5dc239b684 · outbound

This paper cites Pdebench: An extensive benchmark for scientific machine learning.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Pdebench: An extensive benchmark for scientific machine learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.121448Z

Source-reported events for the cited work

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

Observation aec163db-22fa-48aa-b9ac-5e9e14d6c72f · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:13.716882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdaa3761-f805-4229-bdf4-18b02829d585 · outbound

This paper cites Accelerating eulerian fluid simulation with convolutional networks.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Accelerating eulerian fluid simulation with convolutional networks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.109421Z

Source-reported events for the cited work

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

Observation addcc71a-69a0-4736-94dd-88a875e56dad · outbound

This paper cites P., Galletti, G., Brandstetter, J., Adami, S., and Adams, N.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates P., Galletti, G., Brandstetter, J., Adami, S., and Adams, N

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.096813Z

Source-reported events for the cited work

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

Observation 8d3a42b5-ff1a-4dba-8477-5528d6d863c2 · outbound

This paper cites an unresolved cited work.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:30:14.085286Z

Source-reported events for the cited work

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

Observation bf6babf0-8976-4440-a56e-4d10ededf875 · outbound

This paper cites and Chakraborty, S.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Chakraborty, S

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.073957Z

Source-reported events for the cited work

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

Observation 7f2387c8-189e-425a-b769-a7abd1266a09 · outbound

This paper cites R., Holl, P., and Thuerey, N.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates R., Holl, P., and Thuerey, N

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.063178Z

Source-reported events for the cited work

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

Observation 4974ae35-9462-404e-9357-625c23bd2ae9 · outbound

This paper cites S., Linmans, J., Winkens, J., Cohen, T., and Welling, M.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates S., Linmans, J., Winkens, J., Cohen, T., and Welling, M

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.050706Z

Source-reported events for the cited work

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

Observation 63b06909-892d-434b-a07e-2aa0090bb2ca · outbound

This paper cites Learning incompressible fluid dynamics from scratch-towards fast, differentiable fluid models that generalize.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Learning incompressible fluid dynamics from scratch-towards fast, differentiable fluid models that generalize

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.037861Z

Source-reported events for the cited work

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

Observation 2fbc5f7b-c7bd-4ce1-ba94-86c55d61f5fe · outbound

This paper cites Incorporating symmetry into deep dynamics models for improved generalization.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Incorporating symmetry into deep dynamics models for improved generalization

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.025637Z

Source-reported events for the cited work

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

Observation 6fa6a7a7-bd58-404e-95b5-e8a729a5d6ba · outbound

This paper cites K., Henn, B., Duncan, J., Brenowitz, N.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates K., Henn, B., Duncan, J., Brenowitz, N

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.013693Z

Source-reported events for the cited work

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

Observation 633fdb46-adaa-4e06-b1d6-55638a7c8fc9 · outbound

This paper cites and Cesa, G.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates and Cesa, G

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:30:14.000623Z

Source-reported events for the cited work

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

Observation b1a008d6-9df6-46e6-bba5-c5e51129f771 · outbound

This paper cites write newline.

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates write newline

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:13.789264Z

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