Machine learning for modelling unstructured grid data in computational physics: a review | Paper Citation Record

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This paper cites Carleo, I.

Machine learning for modelling unstructured grid data in computational physics: a review Carleo, I

Reference 1

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This paper cites Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.

Machine learning for modelling unstructured grid data in computational physics: a review Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

Reference 2

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This paper cites Fukami, K.

Machine learning for modelling unstructured grid data in computational physics: a review Fukami, K

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This paper cites Machine Learning for Fluid Mechanics.

Machine learning for modelling unstructured grid data in computational physics: a review Machine Learning for Fluid Mechanics

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Alauzet, A.

Machine learning for modelling unstructured grid data in computational physics: a review Alauzet, A

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This paper cites Spiegel, T.

Machine learning for modelling unstructured grid data in computational physics: a review Spiegel, T

Reference 7

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Benson, A.

Machine learning for modelling unstructured grid data in computational physics: a review Benson, A

Reference 9

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This paper cites Cuomo, V.

Machine learning for modelling unstructured grid data in computational physics: a review Cuomo, V

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This paper cites Loehner, D.

Machine learning for modelling unstructured grid data in computational physics: a review Loehner, D

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Fukami, R.

Machine learning for modelling unstructured grid data in computational physics: a review Fukami, R

Reference 13

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This paper cites Cheng, C.

Machine learning for modelling unstructured grid data in computational physics: a review Cheng, C

Reference 14

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Pfaff, M.

Machine learning for modelling unstructured grid data in computational physics: a review Pfaff, M

Reference 16

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This paper cites Perera, V.

Machine learning for modelling unstructured grid data in computational physics: a review Perera, V

Reference 17

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Vaswani, N.

Machine learning for modelling unstructured grid data in computational physics: a review Vaswani, N

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This paper cites Geneva, N.

Machine learning for modelling unstructured grid data in computational physics: a review Geneva, N

Reference 20

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This paper cites Raissi, P.

Machine learning for modelling unstructured grid data in computational physics: a review Raissi, P

Reference 21

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Foucart, A.

Machine learning for modelling unstructured grid data in computational physics: a review Foucart, A

Reference 23

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This paper cites Lorsung, A.

Machine learning for modelling unstructured grid data in computational physics: a review Lorsung, A

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Goodfellow, J.

Machine learning for modelling unstructured grid data in computational physics: a review Goodfellow, J

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Machine learning for modelling unstructured grid data in computational physics: a review Score-Based Generative Modeling through Stochastic Differential Equations

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Machine learning for modelling unstructured grid data in computational physics: a review Croitoru, V

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Machine learning for modelling unstructured grid data in computational physics: a review CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems

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Machine learning for modelling unstructured grid data in computational physics: a review Zhuang, S

Reference 31

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This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

Machine learning for modelling unstructured grid data in computational physics: a review GenCast: Diffusion-based ensemble forecasting for medium-range weather

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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This paper cites Loseille, Unstructured Mesh Generation Adaptation, in: Handbook of Numerical Analysis, volume 18, Elsevier, 2017, pp.

Machine learning for modelling unstructured grid data in computational physics: a review Loseille, Unstructured Mesh Generation Adaptation, in: Handbook of Numerical Analysis, volume 18, Elsevier, 2017, pp

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Mavriplis, Euler and Navier-Stokes computations for two-dimensional geometries using unstructured meshes, 1990

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review doi:10.1016/j.compfluid.2012.09.031

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Machine learning for modelling unstructured grid data in computational physics: a review Marić, D

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Slone, K

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Benner, S

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Arcucci, D

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Audouze, F

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Machine learning for modelling unstructured grid data in computational physics: a review Le Guennec, J

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Manzoni, F

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

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Machine learning for modelling unstructured grid data in computational physics: a review Ştefănescu, I

Reference 66

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This paper cites A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks.

Machine learning for modelling unstructured grid data in computational physics: a review A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks

Reference 67

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Unavailable: canonical work link unavailable.

Observation 92f27eda-a300-44a2-a111-9dac5cac2fcf · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.580318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e231ad-41b7-4f6e-9beb-4c1c9a1a128c · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.585414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3caae5ea-612f-4213-bc33-ffa6e6d97d44 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.590469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12419e54-2e9c-441b-b817-4059db1a18da · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.595586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28bf054-54be-4b3d-a62f-2bad308e4dba · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.602135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc7fa34c-e5e9-4de8-a12a-e6eadc834187 · outbound

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Machine learning for modelling unstructured grid data in computational physics: a review Taira, S

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.607027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eabaa068-94d5-4036-8df7-542f6fc23414 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.611853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bc5e7c-fe77-4d68-989f-7f7aa092dd19 · outbound

This paper cites Mezić, Spectral properties of dynamical systems, model reduction and decompositions, Nonlinear Dynamics 41 (2005) 309–325.

Machine learning for modelling unstructured grid data in computational physics: a review Mezić, Spectral properties of dynamical systems, model reduction and decompositions, Nonlinear Dynamics 41 (2005) 309–325

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.616712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27cc20c4-a600-4419-b744-c2221d4c8fb3 · outbound

This paper cites Mezić, Analysis of fluid flows via spectral properties of the koopman operator, Annual Review of Fluid Mechanics 45 (2013) 357–378.

Machine learning for modelling unstructured grid data in computational physics: a review Mezić, Analysis of fluid flows via spectral properties of the koopman operator, Annual Review of Fluid Mechanics 45 (2013) 357–378

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.621723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf1b5c2-b764-4313-9b36-986351a43979 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.626635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6be0e3-4d86-45d3-abaa-0b0b263db2c8 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.631485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d98038c0-ab5a-474f-86e4-7d731bad2d6a · outbound

This paper cites Cheng, C.

Machine learning for modelling unstructured grid data in computational physics: a review Cheng, C

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.636334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76334ca9-acde-4123-9519-57fa7f46f634 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.641732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc031a1-f3df-4176-a489-b324af6328be · outbound

This paper cites Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations.

Machine learning for modelling unstructured grid data in computational physics: a review Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:49:42.478436Z

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 b1d45858-2e43-4e30-a3f4-e0a908fee55d · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.652619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429343ce-4590-4077-9ad8-cc1263f098aa · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.657376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5a3c2a-b653-4270-89e0-8067a850eadc · outbound

This paper cites Dutta, P.

Machine learning for modelling unstructured grid data in computational physics: a review Dutta, P

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.662006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eefb7c0-1ebb-4b97-8e84-a03244a81c18 · outbound

This paper cites Alsayyari, Z.

Machine learning for modelling unstructured grid data in computational physics: a review Alsayyari, Z

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.666746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 662ab87d-7fb3-4165-8f61-d16665e71431 · outbound

This paper cites Baiges, R.

Machine learning for modelling unstructured grid data in computational physics: a review Baiges, R

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.671716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214e6e19-9338-4d99-b998-b56e0d7f55a0 · outbound

This paper cites Carlberg, Adaptive h-refinement for reduced-order models, International Journal for Numerical Meth- ods in Engineering 102 (2015) 1192–1210.

Machine learning for modelling unstructured grid data in computational physics: a review Carlberg, Adaptive h-refinement for reduced-order models, International Journal for Numerical Meth- ods in Engineering 102 (2015) 1192–1210

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.676439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc88ec89-3be6-4404-a264-8dc3c3017782 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.681357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c4f933-975b-4f42-a8c6-86e837654c3f · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.686263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce042527-c77f-4f3b-a873-1fad60a3957c · outbound

This paper cites Maulik, B.

Machine learning for modelling unstructured grid data in computational physics: a review Maulik, B

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.692374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15559d50-2799-4fd1-97dc-599f6d3e5e7f · outbound

This paper cites Nakamura, K.

Machine learning for modelling unstructured grid data in computational physics: a review Nakamura, K

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.697476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d2cf99b-3c84-44e1-9d30-0acffb63fb97 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.702689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e3c7891-a8c7-4702-8f54-275085ede06c · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.708520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d77f11-0bbf-4582-91ff-54823bf9ae35 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.713163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db926d6c-2638-4f4f-82d9-f7a8095c1dfb · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.718159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc853b7-58cc-457d-a6c6-fe2427c1503c · outbound

This paper cites Fasel, J.

Machine learning for modelling unstructured grid data in computational physics: a review Fasel, J

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.723170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5481bb-67c1-4fa7-9842-4f4d256120d0 · outbound

This paper cites Fukami, T.

Machine learning for modelling unstructured grid data in computational physics: a review Fukami, T

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.727933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c445dd16-6c88-4531-acf9-f70eb1eec24b · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.732709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78bd23ac-8ce7-419c-838b-709879af1c17 · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.737439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a082f1d-206c-4c0a-8245-f40f6d6bda8b · outbound

This paper cites an unresolved cited work.

Machine learning for modelling unstructured grid data in computational physics: a review Unresolved cited work

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.742167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers