Data-driven polynomial surrogate models for fast crystal plasticity simulations extended for hexagonal metals

International Journal of Engineering Science 2026

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Authors: Milica Letic, Mark Lyon, Marko Knežević

DOI: 10.1016/j.ijengsci.2026.104613

Cited by: 1

References: 53

Fields of Study & Subjects

Model Reduction and Neural Networks Machine Learning in Materials Science Composite Material Mechanics

References 53