Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN)

Research article (Composite Structures, 2022) · cited 61× · AI/ML
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Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN)

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Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN) is a scholarly article[1].

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  • Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN)'s instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN). Retrieved May 24, 2026, from https://4ort.xyz/entity/predictions-of-macroscopic-mechanical-properties-and-microscopic-cracks-of-unidirectional-fibre-reinforced-polymer-compo
MLA “Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predictions-of-macroscopic-mechanical-properties-and-microscopic-cracks-of-unidirectional-fibre-reinforced-polymer-compo.
BibTeX @misc{4ortxyz_predictions-of-macroscopic-mechanical-properties-and-microscopic-cracks-of-unidirectional-fibre-reinforced-polymer-compo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network (DNN)}}, year = {2026}, url = {https://4ort.xyz/entity/predictions-of-macroscopic-mechanical-properties-and-microscopic-cracks-of-unidirectional-fibre-reinforced-polymer-compo}, note = {Accessed: 2026-05-24}}
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