DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction

Research article (Engineering Structures, 2020) · cited 85× · AI/ML
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DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction

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DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynnet-physics-based-neural-architecture-design-for-nonlinear-structural-response-modeling-and-prediction
MLA “DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynnet-physics-based-neural-architecture-design-for-nonlinear-structural-response-modeling-and-prediction.
BibTeX @misc{4ortxyz_dynnet-physics-based-neural-architecture-design-for-nonlinear-structural-response-modeling-and-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction}}, year = {2026}, url = {https://4ort.xyz/entity/dynnet-physics-based-neural-architecture-design-for-nonlinear-structural-response-modeling-and-prediction}, note = {Accessed: 2026-05-24}}
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