A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids | Paper Citation Record

Observation 075e813e-05c3-4f63-8112-237ee2d65024 · outbound

This paper cites Data-driven continuum damage mechanics with built-in physics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Data-driven continuum damage mechanics with built-in physics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.810568Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ba1b786-44ee-4b39-a590-bdda518779e3 · outbound

This paper cites Comparison of discontinuous damage models of mullins-type,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Comparison of discontinuous damage models of mullins-type,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.800789Z

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Observation 05a42a3c-b6da-4b77-8015-d4d63ba28c09 · outbound

This paper cites A review on data-driven constitutive laws for solids,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A review on data-driven constitutive laws for solids,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.791134Z

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Observation 29dc43d3-874b-4a9f-90a4-aba5518ac54e · outbound

This paper cites Rupture time under creep conditions,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Rupture time under creep conditions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.781317Z

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Observation cabc15fc-908a-4b63-841a-c1e16c2c11dd · outbound

This paper cites an unresolved cited work.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:03:13.770550Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 768716bd-56ce-48b9-bbbf-48288215c064 · outbound

This paper cites The effect of creep constitutive and damage relationships upon the rupture time of a solid circular torsion bar,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids The effect of creep constitutive and damage relationships upon the rupture time of a solid circular torsion bar,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.761053Z

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Observation 7c2ec13e-46e2-4e9e-af0f-890126594c17 · outbound

This paper cites Behavior of rubber under repeated stresses,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Behavior of rubber under repeated stresses,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.750551Z

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Observation 7c61eb7d-e570-4925-a14e-a3e3b54fb9ef · outbound

This paper cites Effect of stretching on the properties of rubber,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Effect of stretching on the properties of rubber,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.741222Z

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Observation bf1322bf-5761-424a-8f89-93f067819792 · outbound

This paper cites Theoretical model for the elastic behavior of filler-reinforced vulcanized rubbers,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Theoretical model for the elastic behavior of filler-reinforced vulcanized rubbers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.730815Z

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Observation a75ca535-591d-41e6-aa28-bb55ca60d55d · outbound

This paper cites Double-network hydrogels with extremely high mechanical strength,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Double-network hydrogels with extremely high mechanical strength,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.720789Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be042ecb-3228-4183-9d05-aa3364f31478 · outbound

This paper cites Induced anisotropy by mullins effect in filled elastomers subjected to stretching with various geometries,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Induced anisotropy by mullins effect in filled elastomers subjected to stretching with various geometries,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.711024Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f09678cd-af33-4012-9062-b1b94d2a3bed · outbound

This paper cites Distinctive characteristics of internal fracture in tough double network hydrogels revealed by various modes of stretching,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Distinctive characteristics of internal fracture in tough double network hydrogels revealed by various modes of stretching,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.701206Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 19a90489-8a02-45a5-8a22-f30fa58948ca · outbound

This paper cites Toughening elastomers with sacrificial bonds and watching them break,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Toughening elastomers with sacrificial bonds and watching them break,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.690374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ac6ed91-7477-4955-a1cb-b190cf5e48b6 · outbound

This paper cites Mechanics of elastomeric molecular composites,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Mechanics of elastomeric molecular composites,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.679356Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4bd84ed-2aa6-4e60-9965-fb539ab17a85 · outbound

This paper cites A micro-mechanically based continuum damage model for carbon black-filled rubbers incorporating mullins’ effect,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A micro-mechanically based continuum damage model for carbon black-filled rubbers incorporating mullins’ effect,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.669328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eceb7a0b-7d66-4ce8-a8a0-2fff34d2cde7 · outbound

This paper cites The constitutive equations of continuum creep damage mechanics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids The constitutive equations of continuum creep damage mechanics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.659512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06256f5b-c4c1-4b3a-93e6-0abf54347dad · outbound

This paper cites Anisotropic damage in elasticity and plasticity,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Anisotropic damage in elasticity and plasticity,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.648629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 08e02b22-04f4-488b-b1c4-791417613d61 · outbound

This paper cites Damage induced elastic anisotropy,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Damage induced elastic anisotropy,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.639449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35f2fab2-ea2d-466f-8e16-ac40443724b4 · outbound

This paper cites How to use damage mechanics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids How to use damage mechanics,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.629836Z

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Observation 704ea3ab-5d2c-4032-9736-dfada8a6dfaf · outbound

This paper cites A continuous damage mechanics model for ductile fracture,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A continuous damage mechanics model for ductile fracture,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.620300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3c906aa-b0cf-4f4a-b77d-b2cedcfca311 · outbound

This paper cites Application of continuous damage mechanics to strain and fracture behavior of concrete,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Application of continuous damage mechanics to strain and fracture behavior of concrete,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.610428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6fffc15-217f-4de1-9e5d-5dd0816302fe · outbound

This paper cites Strain-and stress-based continuum damage models—i. formulation,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Strain-and stress-based continuum damage models—i. formulation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.600542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ae4e592a-37bf-4b1b-9d17-6a7a9dbf3b6b · outbound

This paper cites On energy-based coupled elastoplastic damage theories: constitutive modeling and computational aspects,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On energy-based coupled elastoplastic damage theories: constitutive modeling and computational aspects,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.589884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c82b2b09-6f27-4def-880b-4fb947342d08 · outbound

This paper cites A unified theory of elastic degradation and damage based on a loading surface,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A unified theory of elastic degradation and damage based on a loading surface,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.580560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c2484777-fc5f-485d-babe-485d25d07a6f · outbound

This paper cites Tensorial nature of damage measuring internal variables,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Tensorial nature of damage measuring internal variables,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.570364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cca4a9e9-c86f-4060-99ab-f5cff14d4472 · outbound

This paper cites Representation of mechanical behavior in the presence of changing internal structure,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Representation of mechanical behavior in the presence of changing internal structure,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.560033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9ce6b61-684e-4d42-b8f4-b535ec673474 · outbound

This paper cites Description of anisotropic damage application to elasticity,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Description of anisotropic damage application to elasticity,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.549322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 381e1d44-60af-40a7-a7e5-143684019200 · outbound

This paper cites On an anisotropic damage theory,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On an anisotropic damage theory,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.539819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d74769a6-45cb-4860-8218-f5b3d5def016 · outbound

This paper cites An anisotropic theory of elasticity for continuum damage mechanics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids An anisotropic theory of elasticity for continuum damage mechanics,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.530851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6244ca8-0557-4e10-8fa6-9a0d908a8730 · outbound

This paper cites Isotropic and anisotropic damage variables in continuum damage mechanics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Isotropic and anisotropic damage variables in continuum damage mechanics,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.521710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e75bd5d1-cdd2-49da-a042-77726f8ae651 · outbound

This paper cites A new formulation of continuum damage mechanics (cdm) for composite materials,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A new formulation of continuum damage mechanics (cdm) for composite materials,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.512134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 584696b1-99f8-46e0-95f6-5d892b1eada6 · outbound

This paper cites Continuum damage modelling: approximation of crack induced anisotropy,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Continuum damage modelling: approximation of crack induced anisotropy,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.502417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 388abf2d-8ead-4772-a370-43c5d357e5c0 · outbound

This paper cites On the formulation of anisotropic elastic degradation. i. theory based on a pseudo-logarithmic damage tensor rate,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On the formulation of anisotropic elastic degradation. i. theory based on a pseudo-logarithmic damage tensor rate,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.492737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 746d8757-b793-4386-8a50-9b7a6df344ec · outbound

This paper cites Murakami, Continuum damage mechanics: a continuum mechanics approach to the analysis of damage and fracture, vol.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Murakami, Continuum damage mechanics: a continuum mechanics approach to the analysis of damage and fracture, vol

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.483309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c48edbe7-63cb-4ba1-ac83-d8c11458d43a · outbound

This paper cites A continuum theory of creep and creep damage,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A continuum theory of creep and creep damage,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.473858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b4cb1c6-1621-4124-833b-b9db0eb4cdf6 · outbound

This paper cites Mechanical modeling of material damage,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Mechanical modeling of material damage,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.464420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c695a5ad-cc0b-450e-b374-70f51b16b467 · outbound

This paper cites A simple derivation of representations for non-polynomial constitutive equations in some cases of anisotropy,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A simple derivation of representations for non-polynomial constitutive equations in some cases of anisotropy,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.454167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4d41161-82cc-45e1-bb07-647222ae3ce0 · outbound

This paper cites On representations of anisotropic invariants,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On representations of anisotropic invariants,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.444819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a0e1444-0663-42dc-aa57-6d18afe037aa · outbound

This paper cites Theory of representations for tensor functions—a unified invariant approach to constitutive equations,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Theory of representations for tensor functions—a unified invariant approach to constitutive equations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.435544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c35a594b-7df5-4297-b3cf-13b1b81796aa · outbound

This paper cites Structural tensors for anisotropic solids,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Structural tensors for anisotropic solids,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.425960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86ffb6a2-e743-4e81-aea0-7d145cec50b1 · outbound

This paper cites Itskov, Tensor algebra and tensor analysis for engineers, vol.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Itskov, Tensor algebra and tensor analysis for engineers, vol

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.416143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b82a3505-5748-4803-bcf2-9a34a1f79307 · outbound

This paper cites Invariant formulation of hyperelastic transverse isotropy based on polyconvex free energy functions,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Invariant formulation of hyperelastic transverse isotropy based on polyconvex free energy functions,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.406629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86bdc2e1-b4d4-4753-9a5a-15eb5e755d7c · outbound

This paper cites A class of orthotropic and transversely isotropic hyperelastic constitutive models based on a polyconvex strain energy function,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A class of orthotropic and transversely isotropic hyperelastic constitutive models based on a polyconvex strain energy function,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.396999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5e8c513-9f68-42b0-981e-813659742e56 · outbound

This paper cites Anisotropic polyconvex energies on the basis of crystallographic motivated structural tensors,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Anisotropic polyconvex energies on the basis of crystallographic motivated structural tensors,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.386147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 431811af-5ceb-4373-802b-54e0bf481732 · outbound

This paper cites On damage induced anisotropy for fiber composites,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On damage induced anisotropy for fiber composites,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.375056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56339382-9587-466e-a7b2-9b77efefa9ae · outbound

This paper cites A framework for geometrically nonlinear continuum damage mechanics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A framework for geometrically nonlinear continuum damage mechanics,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.364413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25246cc4-f1a5-4792-b607-9efb96f249f9 · outbound

This paper cites A theoretical and computational framework for anisotropic continuum damage mechanics at large strains,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A theoretical and computational framework for anisotropic continuum damage mechanics at large strains,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.353753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d8256e26-23f2-4bee-ad8f-08f41de8b7a5 · outbound

This paper cites On the modelling of anisotropic elastic and inelastic material behaviour at large deformation,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On the modelling of anisotropic elastic and inelastic material behaviour at large deformation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.343272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9449609f-10b3-4f95-b998-c8c326c4b7c9 · outbound

This paper cites Using structural tensors for inelastic material modeling in the finite strain regime–a novel approach to anisotropic damage,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Using structural tensors for inelastic material modeling in the finite strain regime–a novel approach to anisotropic damage,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.332437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f3d663e-6fa2-43ae-b7ef-dbdcc60ab28e · outbound

This paper cites Multilayer feedforward networks are universal approximators,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Multilayer feedforward networks are universal approximators,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:12.922691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6a4a45-d6c6-4782-9ca4-eb70a50fa437 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.315652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d410a171-aa26-4e14-928c-61725e35423f · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids JAX: composable transformations of Python+NumPy programs,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.305847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f48d3a1-cc7b-4b5e-811e-1c159706c322 · outbound

This paper cites Geometric deep learning for computational mechanics part i: Anisotropic hyperelasticity,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Geometric deep learning for computational mechanics part i: Anisotropic hyperelasticity,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.295274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3961559-c597-4748-9de3-d42fe9a49bd3 · outbound

This paper cites Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.283441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 19420c48-ab8a-4c22-9c3f-6a815327b477 · outbound

This paper cites Polyconvex neural networks for hyperelastic constitutive models: A rectification approach,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Polyconvex neural networks for hyperelastic constitutive models: A rectification approach,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.273096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1dd165da-1e4c-470e-b8da-f92ee7d886ac · outbound

This paper cites A mechanics-informed artificial neural network approach in data-driven constitutive modeling,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A mechanics-informed artificial neural network approach in data-driven constitutive modeling,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.263153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 541bef9e-56dc-4ca9-a22c-80fe52d71ccc · outbound

This paper cites Learning hyperelastic anisotropy from data via a tensor basis neural network,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Learning hyperelastic anisotropy from data via a tensor basis neural network,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.252664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0c19f99a-4374-45de-b76b-e27ef3ff116b · outbound

This paper cites Fe ann: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Fe ann: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.242543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3fda42f2-1e15-4e18-bfb7-c85c6b51f3f7 · outbound

This paper cites Data-driven tissue mechanics with polyconvex neural ordinary differential equations,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Data-driven tissue mechanics with polyconvex neural ordinary differential equations,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.232363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 860b9b83-d517-4698-9ef2-e396fc564718 · outbound

This paper cites Neural networks meet hyperelasticity: A guide to enforcing physics,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Neural networks meet hyperelasticity: A guide to enforcing physics,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.221371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9988e1b1-835f-4644-94bd-758fbb328029 · outbound

This paper cites A new family of constitutive artificial neural networks towards automated model discovery,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids A new family of constitutive artificial neural networks towards automated model discovery,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.211313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a83da28-2f8d-49b8-8886-11e3abead7aa · outbound

This paper cites Benchmarking physics-informed frameworks for data-driven hyperelasticity,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Benchmarking physics-informed frameworks for data-driven hyperelasticity,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.201255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ac6a2b4e-d89e-48d7-abf7-af3b7bc23d1e · outbound

This paper cites Input convex neural networks,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Input convex neural networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.191272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 545f6800-e467-42ea-9f87-8f1dc0b1b878 · outbound

This paper cites Neural ordinary differential equations,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Neural ordinary differential equations,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.181497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1098c3d3-fb70-434b-a454-7120780cebb1 · outbound

This paper cites Convexity conditions and existence theorems in nonlinear elasticity,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Convexity conditions and existence theorems in nonlinear elasticity,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.171343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 819ff003-f0e6-4893-a95e-7ecd61c62ed7 · outbound

This paper cites Recovering mullins damage hyperelastic behaviour with physics augmented neural networks,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Recovering mullins damage hyperelastic behaviour with physics augmented neural networks,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.161587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e754294c-3775-48e3-8158-0756270fdb60 · outbound

This paper cites On a fully three-dimensional finite-strain viscoelastic damage model: formulation and computational aspects,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On a fully three-dimensional finite-strain viscoelastic damage model: formulation and computational aspects,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.151796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cbbc185-35b4-4deb-8857-71b19c672875 · outbound

This paper cites Thermodynamics with internal state variables,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Thermodynamics with internal state variables,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.140800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9cb793e-ad52-4e58-907c-2a3e93fa1bce · outbound

This paper cites Quasi-convexity and the lower semicontinuity of multiple integrals,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Quasi-convexity and the lower semicontinuity of multiple integrals,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.130513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe3ddb96-a960-4849-958f-086f19e30ea1 · outbound

This paper cites On a new class of elastic deformations not allowing for cavitation,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On a new class of elastic deformations not allowing for cavitation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.119657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50c3bb1a-4e07-4991-a2ac-ad310f7755c6 · outbound

This paper cites an unresolved cited work.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:03:13.109618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d54ac4c2-5f4b-4956-a8a2-0a6d47ab7c49 · outbound

This paper cites Polyconvex anisotropic hyperelasticity with neural networks,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Polyconvex anisotropic hyperelasticity with neural networks,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.099880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31ad93f5-a0b9-4a05-9068-72d42667d98c · outbound

This paper cites Lemaitre and J.-L.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Lemaitre and J.-L

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.088756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e96a4246-ef6f-43f5-a196-7e201ed64d26 · outbound

This paper cites an unresolved cited work.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:03:13.078542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79233305-d6a0-4a62-bef7-c987ada4932f · outbound

This paper cites Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.068742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1208f4ff-4bb6-448a-b67c-faabd21c8f88 · outbound

This paper cites On the implementation of finite deformation gradient-enhanced damage models,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids On the implementation of finite deformation gradient-enhanced damage models,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.058786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7fc1b151-f99f-4997-ac48-17af8edfc1ba · outbound

This paper cites Damage models for soft tissues: a survey,.

A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids Damage models for soft tissues: a survey,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:13.047851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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