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An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks
Research article (Composites Part B Engineering, 2020) · cited 127× · AI/ML
An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks
Summary
An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks is a scholarly article[1].
Key Facts
An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-multiscale-surrogate-modelling-framework-for-composite-materials-considering-progressive-damage-based-on-ar
MLA“An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-multiscale-surrogate-modelling-framework-for-composite-materials-considering-progressive-damage-based-on-ar.
BibTeX@misc{4ortxyz_an-efficient-multiscale-surrogate-modelling-framework-for-composite-materials-considering-progressive-damage-based-on-ar_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-multiscale-surrogate-modelling-framework-for-composite-materials-considering-progressive-damage-based-on-ar}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient multiscale surrogate modelling framework for composite materials considering progressive damage based on artificial neural networks — https://4ort.xyz/entity/an-efficient-multiscale-surrogate-modelling-framework-for-composite-materials-considering-progressive-damage-based-on-ar (retrieved 2026-05-24)
