A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics
Summary
A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics is a scholarly article[1].
Key Facts
A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-physics-informed-neural-network-technique-based-on-a-modified-loss-function-for-computational-2d-and-3d-solid-mechanic
MLA“A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-physics-informed-neural-network-technique-based-on-a-modified-loss-function-for-computational-2d-and-3d-solid-mechanic.
BibTeX@misc{4ortxyz_a-physics-informed-neural-network-technique-based-on-a-modified-loss-function-for-computational-2d-and-3d-solid-mechanic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics}}, year = {2026}, url = {https://4ort.xyz/entity/a-physics-informed-neural-network-technique-based-on-a-modified-loss-function-for-computational-2d-and-3d-solid-mechanic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics — https://4ort.xyz/entity/a-physics-informed-neural-network-technique-based-on-a-modified-loss-function-for-computational-2d-and-3d-solid-mechanic (retrieved 2026-05-24)
