Crack Path Prediction with Operator Learning using Discrete Particle System data Generation | Paper Citation Record

Observation b94d87ff-581f-4e7b-a8ef-e2cad56dc6ce · outbound

This paper cites The dynamics of rapid fracture: insta- bilities, nonlinearities and length scales.Reports on Progress in Physics, 77(4):046501, 2014.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation The dynamics of rapid fracture: insta- bilities, nonlinearities and length scales.Reports on Progress in Physics, 77(4):046501, 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.168303Z

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This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:53.150887Z

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Observation e6696a41-4729-4170-a223-0490b462660b · outbound

This paper cites Elastic crack growth in finite elements with minimal remesh- ing.International journal for numerical methods in engineering, 45(5):601–620, 1999.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Elastic crack growth in finite elements with minimal remesh- ing.International journal for numerical methods in engineering, 45(5):601–620, 1999

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.132782Z

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Observation 7fbc7489-def5-4e09-9d45-fc5831913446 · outbound

This paper cites The fracture mechanics of finite crack exten- sion.Engineering Fracture Mechanics, 72(7):1021–1038, 2005.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation The fracture mechanics of finite crack exten- sion.Engineering Fracture Mechanics, 72(7):1021–1038, 2005

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.113337Z

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Observation 558e34f4-1714-4e84-81e2-08141b98c797 · outbound

This paper cites A finite element method for localized failure analysis.Computer methods in applied mechanics and engineering, 61(2):189–214, 1987.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A finite element method for localized failure analysis.Computer methods in applied mechanics and engineering, 61(2):189–214, 1987

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.096913Z

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Observation b4de106a-e031-450c-9ca2-d1c4a987c36f · outbound

This paper cites Yielding of steel sheets containing slits.Journal of the Mechanics and Physics of Solids, 8(2):100–104, 1960.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Yielding of steel sheets containing slits.Journal of the Mechanics and Physics of Solids, 8(2):100–104, 1960

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.080633Z

Source-reported events for the cited work

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Observation 760c4dff-fe43-4dae-8096-afe2e7ad29da · outbound

This paper cites A comparative review of peridynamics and phase-field models for engineering fracture mechanics.Computational Me- chanics, 69(6):1259–1293, 2022.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A comparative review of peridynamics and phase-field models for engineering fracture mechanics.Computational Me- chanics, 69(6):1259–1293, 2022

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.063200Z

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Observation 8e3b3175-edac-4aa7-ab87-99f4ab70d1f5 · outbound

This paper cites Phase-field models in materials science.Modelling and simulation in materials science and engineering, 17(7):073001, 2009.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Phase-field models in materials science.Modelling and simulation in materials science and engineering, 17(7):073001, 2009

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.046842Z

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Observation 1232e75b-e04b-45b3-a0fe-d02ab0a67cba · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:53.029584Z

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Observation 549631df-70e2-4d33-a781-f8493dab365e · outbound

This paper cites An introduction to phase-field modeling of microstructure evolution.Calphad, 32(2):268–294, 2008.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation An introduction to phase-field modeling of microstructure evolution.Calphad, 32(2):268–294, 2008

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:53.010966Z

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Observation 4240820f-6564-48b5-a5ee-32d80c0bc1b5 · outbound

This paper cites Phase-field modeling of fracture.Advances in applied mechanics, 53:1– 183, 2020.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Phase-field modeling of fracture.Advances in applied mechanics, 53:1– 183, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.991806Z

Source-reported events for the cited work

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Observation 49839fd7-2899-4078-9b7c-91690a2564d0 · outbound

This paper cites Machine- learning-based data-driven discovery of nonlinear phase-field dynamics.Physical Review E, 106(6):065303, 2022.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Machine- learning-based data-driven discovery of nonlinear phase-field dynamics.Physical Review E, 106(6):065303, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.974478Z

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Observation 0ad7cab4-2bd2-408c-9c5a-4d5d9477348b · outbound

This paper cites A phase field modeling approach of cyclic fatigue crack growth.International Journal of Fracture, 225(1):89–100, 2020.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A phase field modeling approach of cyclic fatigue crack growth.International Journal of Fracture, 225(1):89–100, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.957882Z

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Observation 33af7f8d-c5fd-4d03-b74c-ebf5d9810de2 · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:52.940736Z

Source-reported events for the cited work

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Observation 9cb9c8ca-2884-4d11-aaa9-9aa7e9d8b25a · outbound

This paper cites Numerical implementation of phase-field models of brittle fracture.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Numerical implementation of phase-field models of brittle fracture

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.921241Z

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Observation 1d8f1a88-a3ef-44eb-8229-fcd8232d93ac · outbound

This paper cites Numerical experiments in revis- ited brittle fracture.Journal of the Mechanics and Physics of Solids, pages 797–826, 2000.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Numerical experiments in revis- ited brittle fracture.Journal of the Mechanics and Physics of Solids, pages 797–826, 2000

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.901195Z

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Observation 54dde977-8862-426e-bb53-fe3085fa717f · outbound

This paper cites Francfort, and Jean-Jacques Marigo.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Francfort, and Jean-Jacques Marigo

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.883175Z

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Observation 38d3a8f7-2342-4d3e-9371-829a0348e0f4 · outbound

This paper cites Coupled phase-field and plasticity modeling of geological materials: From brittle fracture to ductile flow.Computer Methods in Applied Mechanics and Engineering, 330:1–32, 2018.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Coupled phase-field and plasticity modeling of geological materials: From brittle fracture to ductile flow.Computer Methods in Applied Mechanics and Engineering, 330:1–32, 2018

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.865317Z

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Observation 486a161e-1d75-4b79-93e0-61b8435db1c9 · outbound

This paper cites A phase field framework for capillary-induced fracture in unsaturated porous media: Drying-induced vs.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A phase field framework for capillary-induced fracture in unsaturated porous media: Drying-induced vs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.848518Z

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Observation ca2ebedd-fef4-416c-8720-0fa9954b2d38 · outbound

This paper cites A lattice-based model of the kinetics of twin boundary motion.Journal of the Mechanics and Physics of Solids, 51(9):1675–1700, 2003.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A lattice-based model of the kinetics of twin boundary motion.Journal of the Mechanics and Physics of Solids, 51(9):1675–1700, 2003

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:49.794196Z

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Observation 40db0a11-38b0-4bb4-9baa-964d9d159c29 · outbound

This paper cites Multiresolution atomistic simulations of dynamic fracture in nanostructured ce- ramics and glasses.International Journal of Fracture, 121:71–79, 2003.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Multiresolution atomistic simulations of dynamic fracture in nanostructured ce- ramics and glasses.International Journal of Fracture, 121:71–79, 2003

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.823083Z

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Observation f20a0b92-1ac9-4405-9c86-3c5a902a82d1 · outbound

This paper cites Constitutively informed multi-body interactions for lattice particle models.Computer Methods in Applied Mechanics and Engineering, 366:113052, 2020.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Constitutively informed multi-body interactions for lattice particle models.Computer Methods in Applied Mechanics and Engineering, 366:113052, 2020

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.806679Z

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Observation e30d04a3-60c0-40fc-a94d-cfa310395fcb · outbound

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Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:52.791835Z

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Observation 6de4fa0e-47fd-4109-a7c3-ea81b92fd56b · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:52.776892Z

Source-reported events for the cited work

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Observation 9182cc99-9735-43be-a0e0-728383115519 · outbound

This paper cites Modeling failure of hyperelastic solids inter- acting with fluids.Computational Particle Mechanics, 12(1):153–164, 2025.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Modeling failure of hyperelastic solids inter- acting with fluids.Computational Particle Mechanics, 12(1):153–164, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.761460Z

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Observation 521fb615-17f9-42c9-a984-46c75c95efae · outbound

This paper cites Modeling the role of phase boundaries on the pullout response of shape memory wire reinforced composites.Mechanics of Advanced Materials and Structures, 30(6):1128–1137, 2023.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Modeling the role of phase boundaries on the pullout response of shape memory wire reinforced composites.Mechanics of Advanced Materials and Structures, 30(6):1128–1137, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.743757Z

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Observation 7730c684-4587-46d7-9242-f098805eb67d · outbound

This paper cites Fuhg, G.A.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Fuhg, G.A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.726274Z

Source-reported events for the cited work

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Observation a76079d7-5c14-4ec9-a14f-85fa2bda2443 · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:52.709853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b875474f-ec09-46d8-be4d-c7c82fa5b9af · outbound

This paper cites Phase-field modeling of fracture with physics-informed deep learning.Computer Methods in Applied Me- chanics and Engineering, page 117104, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Phase-field modeling of fracture with physics-informed deep learning.Computer Methods in Applied Me- chanics and Engineering, page 117104, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.671567Z

Source-reported events for the cited work

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Observation 846e5961-81a7-4c7b-a86f-68dff097a291 · outbound

This paper cites Predicting crack nucleation and propagation in brittle materials using deep operator networks with diverse trunk architectures.arXiv preprint arXiv:2501.00016, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Predicting crack nucleation and propagation in brittle materials using deep operator networks with diverse trunk architectures.arXiv preprint arXiv:2501.00016, 2024

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Resolution: verified exact; raw_fallback, observed 2026-08-15T21:08:50.810027Z

Source-reported events for the cited work

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Observation 02acf3e8-0093-48a8-a402-54854d87a5ad · outbound

This paper cites Transfer learning enhanced physics informed neural network for phase-field modeling of fracture.The- oretical and Applied Fracture Mechanics, 106:102447, 2020.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Transfer learning enhanced physics informed neural network for phase-field modeling of fracture.The- oretical and Applied Fracture Mechanics, 106:102447, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.637710Z

Source-reported events for the cited work

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Observation bb8a2549-bd8e-4159-a79e-4aa45f282612 · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:52.552076Z

Source-reported events for the cited work

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Observation de1bc406-027c-4d84-9016-5f6bd06c16bd · outbound

This paper cites Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks.International Journal of Fatigue, 186:108382, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Crack propagation simulation and overload fatigue life prediction via enhanced physics-informed neural networks.International Journal of Fatigue, 186:108382, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.433682Z

Source-reported events for the cited work

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Observation 703e2efc-06a0-4881-9325-047d2f9229e5 · outbound

This paper cites Ma- chine learning accelerated discrete element modeling of granular flows.Chemical Engineering Science, 245:116832, 2021.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Ma- chine learning accelerated discrete element modeling of granular flows.Chemical Engineering Science, 245:116832, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.416600Z

Source-reported events for the cited work

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Observation 2fa4d779-df52-49a7-a303-3d0e8265c43f · outbound

This paper cites Advances in the characterization of residual stress in composite structures.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Advances in the characterization of residual stress in composite structures

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.372293Z

Source-reported events for the cited work

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Observation eb8102ce-86d5-4fb0-a3ac-dd924b7281c4 · outbound

This paper cites A discrete element solution method em- bedded within a neural network.Powder Technology, 448:120258, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A discrete element solution method em- bedded within a neural network.Powder Technology, 448:120258, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.314655Z

Source-reported events for the cited work

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Observation 71859863-ecaf-4525-8974-86d07a61c4f5 · outbound

This paper cites A novel ml-dem algorithm for predicting particle motion in rotary drums.Engi- neering Analysis with Boundary Elements, 177:106258, 2025.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A novel ml-dem algorithm for predicting particle motion in rotary drums.Engi- neering Analysis with Boundary Elements, 177:106258, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.196539Z

Source-reported events for the cited work

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Observation f9b5b380-d685-4de9-b120-cf1e03ad39b3 · outbound

This paper cites Karniadakis.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Karniadakis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.134732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 700459f5-8823-4572-a132-9c34ebc84aa4 · outbound

This paper cites Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural opera- tor learning.International Journal of Multiphase Flow, 180:104959, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural opera- tor learning.International Journal of Multiphase Flow, 180:104959, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:52.016140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea9ace80-a7ba-4820-b027-eb9f3804d807 · outbound

This paper cites Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:50.198621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 839df78f-be3e-436c-963f-500ecbf40fad · outbound

This paper cites Neural operator: Learning maps between function spaces with applications to pdes.Journal of Machine Learning Research, pages 1–97, 2023.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Neural operator: Learning maps between function spaces with applications to pdes.Journal of Machine Learning Research, pages 1–97, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.908023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c19523d9-caf2-46c3-9178-044867e3e5d4 · outbound

This paper cites A causality-deeponet for causal responses of linear dynamical systems.Communications in Computational Physics, pages 1194–1228, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation A causality-deeponet for causal responses of linear dynamical systems.Communications in Computational Physics, pages 1194–1228, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.890412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7d805f0-dd55-4391-b787-59a83f7b790d · outbound

This paper cites Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:50.244734Z

Source-reported events for the cited work

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Observation 9a34a808-e5fc-4c95-aef5-1e3fa609a138 · outbound

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

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:50.278007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae59a472-6b2b-4c0c-8f9e-0fbc66bd6746 · outbound

This paper cites Learning the solution operator of para- metric partial differential equations with physics-informed deeponets.Science Advances, page eabi8605, 2021.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Learning the solution operator of para- metric partial differential equations with physics-informed deeponets.Science Advances, page eabi8605, 2021

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.833880Z

Source-reported events for the cited work

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Observation 77c8317b-da46-4e8e-9a6d-04c348fe9ea9 · outbound

This paper cites On the training and generalization of deep operator net- works.SIAM Journal on Scientific Computing, pages C273–C296, 2024.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation On the training and generalization of deep operator net- works.SIAM Journal on Scientific Computing, pages C273–C296, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.658368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89b70807-420f-43f9-8ba7-16ef198ef6dd · outbound

This paper cites Jagtap, and George E.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Jagtap, and George E

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.557669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e6f5867-f281-4017-9a25-42b3c422d07d · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation KAN: Kolmogorov-Arnold Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:50.376864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812d7e11-92d7-4c56-b490-8d383af63f8f · outbound

This paper cites Sprecher and Sorin Draghici.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Sprecher and Sorin Draghici

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.539798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c9e9b4d-d142-47b4-9b83-c37a6d657173 · outbound

This paper cites On the training of a kolmogorov network.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation On the training of a kolmogorov network

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.297063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f11a28b8-5b62-4215-a538-17918d28a91f · outbound

This paper cites Crack-net: A deep learning approach to predict crack propagation and stress–strain curves in particulate composites.Engineering, 2025.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Crack-net: A deep learning approach to predict crack propagation and stress–strain curves in particulate composites.Engineering, 2025

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.196087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db725c95-0f52-4acd-80ab-f24d209b1bf0 · outbound

This paper cites Modelling de- lamination of elastic layers from shape memory alloy substrates.Shape Memory and Superelas- ticity, pages 1–10, 2025.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Modelling de- lamination of elastic layers from shape memory alloy substrates.Shape Memory and Superelas- ticity, pages 1–10, 2025

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:51.077579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0289919-5429-4cbc-b856-5338610ffce4 · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:51.058821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6e32c8a-4c83-468c-973e-bd4a018962b7 · outbound

This paper cites an unresolved cited work.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:51.006682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dabb0a49-0e3d-4691-b83c-574b337aa338 · outbound

This paper cites An abaqus implementation of the ex- tended finite element method.Engineering fracture mechanics, 76(3):347–368, 2009.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation An abaqus implementation of the ex- tended finite element method.Engineering fracture mechanics, 76(3):347–368, 2009

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:50.988009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65bfe6c6-9cbe-422e-97ca-91be3f474bd8 · outbound

This paper cites Mechanics of the crack path formation.International Journal of Fracture, 47:291–305, 1991.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Mechanics of the crack path formation.International Journal of Fracture, 47:291–305, 1991

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:50.902710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4f9a4c6-7e99-4162-adc6-73135de26fee · outbound

This paper cites Deep Kro- necker neural networks: A general framework for neural networks with adaptive activation functions.Neurocomputing, 468:165–180, 2022.

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation Deep Kro- necker neural networks: A general framework for neural networks with adaptive activation functions.Neurocomputing, 468:165–180, 2022

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:50.867788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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