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◆ Computer Modeling in Engineering & Sciences2026-01-01· Computer science

Physics-Informed Neural Networks: Current Progress and Challenges in Computational Solid and Structural Mechanics

Itthidet Thawon, Duy Vo, Tinh Quoc Bui, Kanya Rattanamongkhonkun, Chakkapong Chamroon, Nakorn Tippayawong, Yuttana Mona, Ramnarong Wanison, Pana Suttakul

原始摘要(英文原文)· Original abstract
Physics-informed neural networks (PINNs) have emerged as a promising class of scientific machine learning techniques that integrate governing physical laws into neural network training. Their ability to enforce differential e... | Find, read and cite all the research you need on Tech Science Press
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