Modular machine learning-based elastoplasticity: Generalization in the context of limited data
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics
Reference100 articles.
1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019
2. Interval and fuzzy physics-informed neural networks for uncertain fields;Fuhg;Probab. Eng. Mech.,2022
3. The mixed deep energy method for resolving concentration features in finite strain hyperelasticity;Fuhg;J. Comput. Phys.,2022
4. Machine learning of molecular properties: Locality and active learning;Gubaev;J. Chem. Phys.,2018
5. Accelerating crystal structure prediction by machine-learning interatomic potentials with active learning;Podryabinkin;Phys. Rev. B,2019
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