Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations

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Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations

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Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-graph-neural-networks-with-physics-informed-loss-function-for-mechanical-response-prediction-of-hollow-concr
MLA “Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-graph-neural-networks-with-physics-informed-loss-function-for-mechanical-response-prediction-of-hollow-concr.
BibTeX @misc{4ortxyz_integrating-graph-neural-networks-with-physics-informed-loss-function-for-mechanical-response-prediction-of-hollow-concr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-graph-neural-networks-with-physics-informed-loss-function-for-mechanical-response-prediction-of-hollow-concr}, note = {Accessed: 2026-05-24}}
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