De Novo Atomistic Discovery of Disordered Mechanical Metamaterials by Machine Learning

De Novo Atomistic Discovery of Disordered Mechanical Metamaterials by Machine Learning

Abstract Architected materials design across orders of magnitude length scale intrigues exceptional mechanical responses nonexistent in their natural bulk state. However, the so‐termed mechanical metamaterials, when scaling bottom down to the atomistic or microparticle level, remain largely unexplor...

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Bibliographic Details
Main Authors: Han Liu, Liantang Li, Zhenhua Wei, Morten M. Smedskjaer, Xiaoyu Rayne Zheng, Mathieu Bauchy
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Advanced Science
Subjects:
Bayesian optimization
cellular materials
interparticle interactions
molecular dynamics simulation
stiffness‐density scaling
Online Access:https://doi.org/10.1002/advs.202304834

Internet

https://doi.org/10.1002/advs.202304834

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