Home ›
Entities
› academia
› A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
Research article (Engineering With Computers, 2024) · cited 11× · AI/ML
A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
Summary
A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures is a scholarly article[1].
Key Facts
A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-based-peridynamic-surrogate-model-for-characterizing-deformation-and-failure-of-materials-and-structu
MLA“A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-based-peridynamic-surrogate-model-for-characterizing-deformation-and-failure-of-materials-and-structu.
BibTeX@misc{4ortxyz_a-machine-learning-based-peridynamic-surrogate-model-for-characterizing-deformation-and-failure-of-materials-and-structu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-based-peridynamic-surrogate-model-for-characterizing-deformation-and-failure-of-materials-and-structu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures — https://4ort.xyz/entity/a-machine-learning-based-peridynamic-surrogate-model-for-characterizing-deformation-and-failure-of-materials-and-structu (retrieved 2026-05-24)
