Paper Citation Record · LEDGER

A physics-augmented neural network framework for finite strain incompressible viscoelasticity

As of 9 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 4 inbound Pith citation observations for arXiv:2511.02959.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.02959 v1

Coverage vector

measured 100 of 110 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:11:44.636933Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:22:12.875861Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T16:58:43.070251Z

Reference resolution

100 of 110 outbound references displayed

verified exact16
verified fuzzy0
unresolved81
parse uncertain0
malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e38f847-a743-489d-86e3-57314f127a1d · outbound

This paper cites Springer Berlin Heidelberg, Berlin, Heidelberg, 1997.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Springer Berlin Heidelberg, Berlin, Heidelberg, 1997

Reference 1

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Observation 9a7f1cec-5825-463a-8da4-e00dbf56bc6d · outbound

This paper cites Springer Berlin Heidelberg, Berlin, Heidelberg,.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Springer Berlin Heidelberg, Berlin, Heidelberg,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:34.429532Z

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Observation c7dc4318-7711-4f34-87b6-9c980ac46b3b · outbound

This paper cites Holzapfel.Nonlinear Solid Mechanics - A Continuum Approach for Engineering.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Holzapfel.Nonlinear Solid Mechanics - A Continuum Approach for Engineering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:34.607891Z

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Observation 2ed9484e-4cf7-4146-a859-0fb40389dffc · outbound

This paper cites Neural Networks for Con- stitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Neural Networks for Con- stitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics

Reference 4

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Observation df8259c0-c509-4008-b801-b88e319e38c4 · outbound

This paper cites Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:34.752940Z

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Observation 753fefac-35d5-4095-bb9a-8a8a0150975a · outbound

This paper cites Ghaboussi, J.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Ghaboussi, J

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:34.814016Z

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Observation fab2ef26-e4f5-45c2-9b9f-92f81705a13c · outbound

This paper cites Frankel, Reese E.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Frankel, Reese E

Reference 7

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Observation f7f2f2cb-4a46-4022-a2a2-d1062e847fef · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

Reference 8

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Observation aa7ee1fc-91f7-4211-bb4a-61e118cae034 · outbound

This paper cites Versatile data-adaptive hyperelastic energy functions for soft materials.Computer Methods in Applied Mechanics and Engineering, 430:117208, October 2024.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Versatile data-adaptive hyperelastic energy functions for soft materials.Computer Methods in Applied Mechanics and Engineering, 430:117208, October 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.032483Z

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Observation 1636a6d1-c359-41de-846e-00b5ae7bd5d1 · outbound

This paper cites Unsupervised discovery of interpretable hyperelastic constitutive laws.Computer Methods in Applied Mechanics and Engineering, 381:113852, August 2021.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unsupervised discovery of interpretable hyperelastic constitutive laws.Computer Methods in Applied Mechanics and Engineering, 381:113852, August 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.107850Z

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Observation f0aa628d-3dca-42d7-a6df-654ff188eede · outbound

This paper cites Automated discovery of generalized standard material models with EUCLID.Computer Methods in Applied Mechanics and Engineering, 405:115867, February 2023.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Automated discovery of generalized standard material models with EUCLID.Computer Methods in Applied Mechanics and Engineering, 405:115867, February 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.163170Z

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Observation 370b4975-cc0d-48c2-8155-d1c47485a75c · outbound

This paper cites Thermodynamically consistent neural network plasticity modeling and discovery of evolution laws.Journal of the Mechanics and Physics of Solids, 180:105416, November 2023.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Thermodynamically consistent neural network plasticity modeling and discovery of evolution laws.Journal of the Mechanics and Physics of Solids, 180:105416, November 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.251866Z

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Observation 7851eebe-ee28-47b0-9004-a0e936b4b3e7 · outbound

This paper cites Automatic generation of interpretable hyperelastic material models by symbolic regression.International Journal for Numerical Methods in Engineering, 124(9): 2093–2104, 2023.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Automatic generation of interpretable hyperelastic material models by symbolic regression.International Journal for Numerical Methods in Engineering, 124(9): 2093–2104, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.314261Z

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Observation 61eadf18-0e9d-4baa-83fc-61b8f4ecd152 · outbound

This paper cites Bock, Roland C.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Bock, Roland C

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.374781Z

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Observation 317c12f1-8a29-4407-8a44-3c1f058be13c · outbound

This paper cites A review of artificial neural networks in the constitutive modeling of composite materials.Composites Part B: Engineering, 224:109152, November 2021.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity A review of artificial neural networks in the constitutive modeling of composite materials.Composites Part B: Engineering, 224:109152, November 2021

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.455887Z

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Observation 5dde22ed-f008-4f0a-b320-b434440d5577 · outbound

This paper cites Raissi, P.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Raissi, P

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.532912Z

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Observation f3c94b46-3376-48a6-bdaa-8ad5e5d7627a · outbound

This paper cites Physics informed neural networks for continuum micromechanics.Computer Methods in Applied Mechanics and Engineering, 393:114790, 2022.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Physics informed neural networks for continuum micromechanics.Computer Methods in Applied Mechanics and Engineering, 393:114790, 2022

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.631788Z

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Observation 5bada685-734a-46d8-82b1-7d3b22d3132e · outbound

This paper cites Kochmann.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kochmann

Reference 18

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Observation 18377ad9-dbd2-4dc2-8ade-303e70d55def · outbound

This paper cites A mechanics-informed artificial neural network approach in data-driven constitutive modeling.International Journal for Numerical Methods in Engineering, 123(12): 2738–2759, 2022.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity A mechanics-informed artificial neural network approach in data-driven constitutive modeling.International Journal for Numerical Methods in Engineering, 123(12): 2738–2759, 2022

Reference 19

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Observation 82f66d03-373f-4e8d-b25e-a3defb9e6973 · outbound

This paper cites Klein, Rogelio Ortigosa, Jesús Martínez-Frutos, and Oliver Weeger.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Klein, Rogelio Ortigosa, Jesús Martínez-Frutos, and Oliver Weeger

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:35.941243Z

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Observation 6d75b41a-3b3e-423a-afa8-75b0635fc972 · outbound

This paper cites Klein, Karl A.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Klein, Karl A

Reference 21

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Observation 1fa88c98-4f5b-480c-87f5-16ab54de4c81 · outbound

This paper cites Elsayed, Yousef Heider, and Oliver Weeger.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Elsayed, Yousef Heider, and Oliver Weeger

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:36.099005Z

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Observation 8cceece1-1fa1-4e32-bd58-8f8e6fe9848c · outbound

This paper cites Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios.Computer Methods in Applied Mechanics and Engineering, 444:118116, September 2025.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios.Computer Methods in Applied Mechanics and Engineering, 444:118116, September 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:36.177276Z

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Observation 9988f44e-9042-4938-958f-9e40ae406ebd · outbound

This paper cites Kalina, Lennart Linden, Jörg Brummund, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, Lennart Linden, Jörg Brummund, and Markus Kästner

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:36.283600Z

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Observation 406a74c1-c2f3-49fc-b6b9-a9bfd21bd58b · outbound

This paper cites Thermodynamics-based Artificial Neural Networks for constitutive modeling.Journal of the Mechanics and Physics of Solids, 147:104277, 2021.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Thermodynamics-based Artificial Neural Networks for constitutive modeling.Journal of the Mechanics and Physics of Solids, 147:104277, 2021

Reference 25

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Observation 9c57a767-8623-43e0-a1a2-3fcf1d597010 · outbound

This paper cites Kalina, Lennart Linden, Jörg Brummund, Philipp Metsch, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, Lennart Linden, Jörg Brummund, Philipp Metsch, and Markus Kästner

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:36.469575Z

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Observation d73cdb22-1c22-4778-b7a6-8929e39b617e · outbound

This paper cites Abdolazizi, Roland C.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Abdolazizi, Roland C

Reference 27

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Observation 1ebe4396-d8c6-4aa1-951f-e5bdf2c9b4ff · outbound

This paper cites Kalina, Jörg Brummund, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, Jörg Brummund, and Markus Kästner

Reference 28

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Observation fff12daf-af33-46cb-a815-7326305caa43 · outbound

This paper cites Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks.Computational Mechanics, April 2023.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks.Computational Mechanics, April 2023

Reference 29

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Observation ec98fee0-1cef-48ad-8a74-540b13848501 · outbound

This paper cites Multiscale modeling of viscoelastic shell structures with artificial neural networks.Computational Mechanics, March 2025.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Multiscale modeling of viscoelastic shell structures with artificial neural networks.Computational Mechanics, March 2025

Reference 30

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Observation 1f922ecf-b80d-4529-9691-0d0171f39ebb · outbound

This paper cites Hamel, Kyle Johnson, Reese Jones, and Nikolaos Bouklas.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Hamel, Kyle Johnson, Reese Jones, and Nikolaos Bouklas

Reference 31

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Observation a584f6e7-5364-4ca4-a72a-95d71622b130 · outbound

This paper cites Neural integration for constitutive equations using small data.Com- puter Methods in Applied Mechanics and Engineering, 420:116698, February 2024.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Neural integration for constitutive equations using small data.Com- puter Methods in Applied Mechanics and Engineering, 420:116698, February 2024

Reference 32

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Observation 68229205-ad78-4caf-a946-4b4b722d19f9 · outbound

This paper cites Klein, Mauricio Fernández, Robert J.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Klein, Mauricio Fernández, Robert J

Reference 33

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Observation 837f0947-d131-4d58-b5e8-53be9408b0c5 · outbound

This paper cites NN-EUCLID: Deep-learning hyperelasticity without stress data.Journal of the Mechanics and Physics of Solids, 169:105076, 2022.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity NN-EUCLID: Deep-learning hyperelasticity without stress data.Journal of the Mechanics and Physics of Solids, 169:105076, 2022

Reference 34

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Observation 9fb6501c-d625-4705-87a8-f243b80d7629 · outbound

This paper cites Fuhg, Nikolaos Bouklas, and Reese E.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Fuhg, Nikolaos Bouklas, and Reese E

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:37.221836Z

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Observation 5131755c-3cf2-43d2-8a0d-ab228a5674e6 · outbound

This paper cites Benchmarking physics-informed frameworks for data-driven hyperelasticity.Computational Mechanics, 73(1):49–65, January.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Benchmarking physics-informed frameworks for data-driven hyperelasticity.Computational Mechanics, 73(1):49–65, January

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:37.303987Z

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Observation 39e65c2a-c06b-4519-9a06-8094333eb333 · outbound

This paper cites Physics-constrained symbolic model discovery for polyconvex incom- pressible hyperelastic materials.International Journal for Numerical Methods in Engineering, n/a(n/a):e7473,.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Physics-constrained symbolic model discovery for polyconvex incom- pressible hyperelastic materials.International Journal for Numerical Methods in Engineering, n/a(n/a):e7473,

Reference 37

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

Reference 38

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Observation 899b4244-7c05-4c0f-8fb3-3060bab0fa2a · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Hurtado, and Ellen Kuhl

Reference 39

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Observation 4521a3de-f803-4e50-8587-abece499af76 · outbound

This paper cites Sobolev Training for Neural Networks.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Sobolev Training for Neural Networks

Reference 40

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Observation dfc7e6d8-ef11-4285-9797-b4cabe2c05f2 · outbound

This paper cites Vlassis, Ran Ma, and WaiChing Sun.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Vlassis, Ran Ma, and WaiChing Sun

Reference 41

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity doi:10.1002/nme.7473

Reference 42

Resolution: verified exact; doi, observed 2026-08-04T00:14:07.324378Z

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Observation bf386b69-5b56-427f-8aa3-5336b4c56799 · outbound

This paper cites Polyconvex neural networks for hyperelastic constitutive models: A rectification approach.Mechanics Research Communications, 125:103993, 2022.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Polyconvex neural networks for hyperelastic constitutive models: A rectification approach.Mechanics Research Communications, 125:103993, 2022

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Observation f7872b9b-f659-4b31-9678-3e6bbfa01b48 · outbound

This paper cites Jadoon, Karl A.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Jadoon, Karl A

Reference 44

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Observation e9f96514-8735-4b5a-8148-8494ab414d6b · outbound

This paper cites Kalina, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, and Markus Kästner

Reference 45

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This paper cites Kalina, Philipp Gebhart, Jörg Brummund, Lennart Linden, WaiChing Sun, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, Philipp Gebhart, Jörg Brummund, Lennart Linden, WaiChing Sun, and Markus Kästner

Reference 46

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

Reference 47

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Number 516 in CISM Courses and Lectures

Reference 48

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Zico Kolter

Reference 49

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This paper cites Klein, Mokarram Hossain, Konstantin Kikinov, Maximilian Kannapinn, Stephan Rudykh, and Antonio J.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Klein, Mokarram Hossain, Konstantin Kikinov, Maximilian Kannapinn, Stephan Rudykh, and Antonio J

Reference 50

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This paper cites Russ, Glaucio H.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Russ, Glaucio H

Reference 51

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity PhD thesis, Inst

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Observation a8453bba-7bcc-4468-8762-7240d15bfe5c · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity A Hybrid Approach Employing Neural Networks to Simulate the Elasto-Plastic Deformation Behavior of 3D-Foam Structures.Advanced Engineering Materials, n/a(n/a):2100641, 2021

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Observation 9432f62e-cbe0-42e2-977b-3fc405622f04 · outbound

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Observation 093e465f-92ec-418b-bf43-b6fcd4472e83 · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Accounting for plasticity: An extension of inelastic Constitutive Artificial Neural Networks, July 2024

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Observation 30662fde-a146-492f-b4c9-565c305c1d9c · outbound

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Observation 6a8a883a-c185-4a87-a2c6-0d19c11552de · outbound

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Observation 3fbfba2e-8ce1-479b-b3d6-9abc2070c677 · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Vlassis and WaiChing Sun

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Convex neural networks learn generalized standard material models.Journal of the Mechanics and Physics of Solids, 200:106103, July 2025

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Observation f6b86cef-2fa6-423b-9699-3cc77998d144 · outbound

This paper cites Rausch, Francisco Sahli Costabal, and Adrian Buganza Tepole.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Rausch, Francisco Sahli Costabal, and Adrian Buganza Tepole

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Observation 211874cb-d571-4a86-baf1-8a2156675b06 · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Theory and implementation of inelastic Constitutive Artificial Neural Networks.Computer Methods in Applied Mechanics and Engineering, 428:117063, August 2024

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Observation ba338a48-f82e-4a06-8c5a-cfe058a18b3c · outbound

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Observation fd98279b-573b-44a7-823f-531ef3f24fab · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation 0e1c4687-6353-47a3-b0cd-9185727f9882 · outbound

This paper cites Kalina, Jörg Brummund, WaiChing Sun, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, Jörg Brummund, WaiChing Sun, and Markus Kästner

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Observation 4be5fd63-bb07-47e5-9a01-620c7c256622 · outbound

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Observation 3b717fe8-9e5a-4247-ace3-a44198277f5b · outbound

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Observation a942f5c2-81f8-4db7-9159-626c9f320521 · outbound

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Observation 6fdbd7af-00fc-401b-8568-1be62c32ddb6 · outbound

This paper cites an unresolved cited work.

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Source-reported events for the cited work

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Observation 7f0ff5a6-187c-42ee-a09a-650bcbaa81f2 · outbound

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Observation 728a665c-6636-4452-8a99-51ad6eef308d · outbound

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Observation e6d38026-d88f-43f3-a9ef-f5ce9f491890 · outbound

This paper cites an unresolved cited work.

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Observation 61812062-b58d-4c2e-a0f4-d5bea175ce03 · outbound

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Observation 3e0bb342-c9cb-450c-ba83-4b6b0b009417 · outbound

This paper cites Rambausek, D.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Rambausek, D

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Observation d3ca4b8d-6224-4db7-988d-ffe1d6a298aa · outbound

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Observation e451625d-a53b-4a89-a0fa-23fca1c5e0c1 · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 211973fe-e5e6-4a22-b7b0-9af34ba5dda4 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49b67991-bb36-4a31-aabc-6fb2c6dcb735 · outbound

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Observation 00d339a3-5374-4081-958c-9e7f4e4f015a · outbound

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Observation 747373ac-3daf-44c0-965b-ea2f868d5906 · outbound

This paper cites an unresolved cited work.

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Observation 27e1e663-d879-41e8-a21f-c18724eb9c27 · outbound

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Observation 9676c6f7-428d-4b53-88ce-de19d6df3158 · outbound

This paper cites Kalina, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, and Markus Kästner

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Observation 7ca68abb-5b4e-4648-9d05-4f8dc0f28135 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation e43be29a-cc9e-486d-8ceb-5cbb941523b7 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation 03a07363-9caf-4c68-b1a3-3201f2679e42 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation 81499d5b-55bb-4dc7-bcea-e4f2476b4ccc · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Resolution: verified exact; doi, observed 2026-08-04T00:14:03.686348Z

Source-reported events for the cited work

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Observation 2b4d0d03-b234-4697-880f-a1c3ee5ee93a · outbound

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A physics-augmented neural network framework for finite strain incompressible viscoelasticity Klein, Fabian J

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Observation 5651f6c5-0e4c-4b4f-848b-18ec8aa68230 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation 8691a03c-4ddd-4299-9a21-3099b64ae5b6 · outbound

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Observation 9b037c81-0356-4997-a07d-c2fb214d6ed5 · outbound

This paper cites Kalina, Jörg Brummund, WaiChing Sun, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, Jörg Brummund, WaiChing Sun, and Markus Kästner

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Observation 1fbd9488-f78c-4949-84c6-8fde3af9b865 · outbound

This paper cites PhD thesis, University of Stuttgart, Stuttgart, 2007.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity PhD thesis, University of Stuttgart, Stuttgart, 2007

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Observation 00eb1930-d1a9-4fd8-b53a-50ebe9deb014 · outbound

This paper cites Springer International Publishing, Cham, 2021.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Springer International Publishing, Cham, 2021

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Observation 4eb0d191-2d2f-463c-b78d-8f4171f755c7 · outbound

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Observation 8facf514-4329-42d5-b3ca-0c61dd77a2e6 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Source-reported events for the cited work

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Observation 685850ab-64dd-4fd3-ab4a-b48653c1df76 · outbound

This paper cites Kalina, and Markus Kästner.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Kalina, and Markus Kästner

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Source-reported events for the cited work

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Observation 3ee04fa5-f09a-4085-9b0d-ae8e1553f677 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation 1cd523fe-f56d-4618-a5d5-ceecfc49e681 · outbound

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Observation 9f831820-124c-4e19-8f04-771f1eba8b33 · outbound

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1402a85-ad24-4204-806f-bc39395d96f8 · outbound

This paper cites an unresolved cited work.

A physics-augmented neural network framework for finite strain incompressible viscoelasticity Unresolved cited work

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Observation bab8700b-6a00-40ed-b349-8a5ce5565727 · inbound

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5cf0e9a2-8839-4323-969c-961f32bbd32d · inbound

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Sequential Subspace Mode Adaptation for the Reduced-Order Homogenization of Dissipative Microstructures using E3C Hyper-Reduction A physics-augmented neural network framework for finite strain incompressible viscoelasticity

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0117577-7fc5-4997-90b2-d0c15886c9b5 · inbound

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.