I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems | Paper Citation Record

Observation a866b3d1-7819-4c6e-ab3c-0db3b5150939 · outbound

This paper cites Santi, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Santi, M

Reference 1

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This paper cites an unresolved cited work.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 2

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Observation afcd37c1-7c39-493e-97e2-62e6653e3351 · outbound

This paper cites Koric, L.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Koric, L

Reference 3

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 4

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This paper cites Klöppel, A.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Klöppel, A

Reference 5

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Observation 03eb8e5c-2de7-4e29-87e2-05dc92924bac · outbound

This paper cites Moradi, J.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Moradi, J

Reference 6

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 7

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This paper cites Abdullah, Y.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Abdullah, Y

Reference 8

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 9

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Observation 2340b80d-a6ed-4888-bd91-7fc88e0df1fc · outbound

This paper cites an unresolved cited work.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 10

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 11

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 12

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 13

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Observation d27867d4-d606-495e-9544-bf813a1435e5 · outbound

This paper cites Diehl, R.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Diehl, R

Reference 14

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This paper cites Moradinia, H.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Moradinia, H

Reference 15

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This paper cites Meinecke, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Meinecke, M

Reference 16

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 17

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 18

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This paper cites Castellazzi, A.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Castellazzi, A

Reference 19

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 20

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 21

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This paper cites Herrmann, S.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Herrmann, S

Reference 22

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 23

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This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 24

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This paper cites Attention Is All You Need.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Attention Is All You Need

Reference 25

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 26

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Observation 73e38384-192a-46e4-8b21-835109b5dc61 · outbound

This paper cites Convolutional Neural Operators for robust and accurate learning of PDEs.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Convolutional Neural Operators for robust and accurate learning of PDEs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:00.440523Z

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This paper cites Sarkar, S.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Sarkar, S

Reference 28

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This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Fourier Neural Operator for Parametric Partial Differential Equations

Reference 29

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This paper cites Kadeethum, S.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Kadeethum, S

Reference 30

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 31

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Observation a927a0a3-f099-49f1-b7cf-cedecd1a4476 · outbound

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 32

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This paper cites Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows

Reference 33

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 34

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This paper cites Manfren, P.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Manfren, P

Reference 35

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 36

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This paper cites Pantidis, H.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Pantidis, H

Reference 37

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This paper cites Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 38

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This paper cites Markidis, The old and the new: Can physics-informed deep-learning replace traditional linear solvers?, Frontiers in big Data 4 (2021) 669097.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Markidis, The old and the new: Can physics-informed deep-learning replace traditional linear solvers?, Frontiers in big Data 4 (2021) 669097

Reference 39

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems id":348,

Reference 40

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This paper cites Mishra, R.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Mishra, R

Reference 41

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Krishnapriyan, A

Reference 42

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 43

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Observation e4d53da6-973c-42a9-b02a-68a50f50e05a · outbound

This paper cites Pantidis, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Pantidis, M

Reference 44

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 45

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 46

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 47

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Observation ae8159d2-15a7-4b77-a421-2e42230016d3 · outbound

This paper cites Zhang, D.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Zhang, D

Reference 48

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Observation 16d0dbfa-78a5-4c5b-ad00-5253b801c39b · outbound

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling

Reference 49

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Pantidis, H

Reference 50

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 51

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 53

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This paper cites Manav, R.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Manav, R

Reference 54

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Observation 364b0afc-d3ce-4f75-8111-5e996605132e · outbound

This paper cites Balay, S.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Balay, S

Reference 55

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

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Observation cd22f65f-1381-4400-8f46-9a453ab38e39 · outbound

This paper cites Jiang, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Jiang, M

Reference 57

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 58

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Observation 445ecb99-ab9b-4c1e-9d95-b55e91bf8b99 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 59

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Observation 80d995e7-cf86-4a75-81a3-c214d99ba00f · outbound

This paper cites Tsantekidis, N.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Tsantekidis, N

Reference 60

Resolution: verified exact; doi, observed 2026-08-05T13:29:07.100216Z

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Observation 9ddc4830-6b85-4f6b-8984-42ccf83682df · outbound

This paper cites Zhang, Z.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Zhang, Z

Reference 61

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Observation 8148ea3c-b26c-4b40-936d-d1320b856a9b · outbound

This paper cites Sukumar, A.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Sukumar, A

Reference 62

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Observation 7da9d84c-7562-451b-a32c-cc549c1fd39f · outbound

This paper cites Dyken, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Dyken, M

Reference 63

Resolution: verified exact; doi, observed 2026-08-05T13:29:06.805651Z

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 64

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This paper cites Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions

Reference 65

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Observation 124ed5ef-c1c9-4f42-9664-50b9c395dfde · outbound

This paper cites Migacz, https://docs.pytorch.org/tutorials/recipes/recipes/tuning_guide.html Performance Tuning Guide (Jul.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Migacz, https://docs.pytorch.org/tutorials/recipes/recipes/tuning_guide.html Performance Tuning Guide (Jul

Reference 66

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Observation 3fbafdfe-6b22-4da3-9696-0e1c0a448e41 · outbound

This paper cites PyLO: Towards Accessible Learned Optimizers in PyTorch.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems PyLO: Towards Accessible Learned Optimizers in PyTorch

Reference 67

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This paper cites Mohajerin, S.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Mohajerin, S

Reference 68

Resolution: verified exact; raw_fallback, observed 2026-08-05T13:29:12.424645Z

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This paper cites Bonassi, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Bonassi, M

Reference 69

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 70

Resolution: verified exact; doi, observed 2026-08-05T13:29:06.141655Z

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Observation 5c9a9507-cccd-4d51-a0b7-5e31bf3509bd · outbound

This paper cites Bonassi, M.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Bonassi, M

Reference 71

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 72

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Observation eeb3acaa-1504-4f42-a504-4c6293d9511c · outbound

This paper cites Li, Finite element formulation of poro-elasticity suitable for large deformation dynamic analysis (2004).

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Li, Finite element formulation of poro-elasticity suitable for large deformation dynamic analysis (2004)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:20.459769Z

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:29:20.150504Z

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Observation f33dc827-d68f-4092-a9b8-9aec95f30384 · outbound

This paper cites Abeyaratne, Continuum Mechanics , Lecture Notes on The Mechanics of Elastic Solids (1998).

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Abeyaratne, Continuum Mechanics , Lecture Notes on The Mechanics of Elastic Solids (1998)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:19.935882Z

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I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:29:19.755037Z

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Observation e80bdc1e-074b-41cd-80b5-02711e2188e0 · outbound

This paper cites an unresolved cited work.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:29:19.546503Z

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Observation 2c09518e-d68d-4134-8394-121268ca2e9d · outbound

This paper cites Coussy, Poromechanics, Wiley, Chichester, 2004.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Coussy, Poromechanics, Wiley, Chichester, 2004

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:29:19.392981Z

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Observation 1a626f5a-416b-4d0e-9815-51566dcdc156 · outbound

This paper cites an unresolved cited work.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 79

Resolution: verified exact; doi, observed 2026-08-05T13:29:05.891340Z

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Observation 8e6f07ac-5d72-40ec-8f65-49ca3e7d625c · outbound

This paper cites an unresolved cited work.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 80

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Observation 9bb14b51-1a22-4f08-a5c6-cb2570fa3ceb · outbound

This paper cites an unresolved cited work.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Unresolved cited work

Reference 81

Resolution: verified exact; doi, observed 2026-08-05T13:29:05.635779Z

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Observation d2f6d465-942d-426a-aec2-3b4e74bd8f22 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems , " * write output.state after.block = add.period write newline

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:05.286471Z

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Observation f033087f-64bd-4b44-b713-16a7e707fa48 · outbound

This paper cites write newline.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems write newline

Reference 83

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