Papers matching “physics-informed machine learning” in Machine Learning in Materials Science 8
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Physics-Informed Data-Driven Models for Predicting Time- and Temperature-Dependent Viscoelastic Material Behaviors of Optical Glasses2021 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Anh Tuan Vu, Shrey Gulati, Paul-Alexander Vogel, Tim Grunwald, Thomas Bergs
4citations -
Physics-informed neural network for constitutive modeling of cyclic crystal plasticity considering deformation mechanism2025 International Journal of Mechanical Sciences article Materials Science Machine Learning in Materials Science cited by 1 patent
Huanbo Weng, Franz Bamer, Cheng Luo, Bernd A. Markert, Huang Yuan
32citations
8 results