Predicting Mechanical Properties of Boron Nitride Nanosheets Obtained from Molecular Dynamics Simulation: A Machine Learning Method

Predicting Mechanical Properties of Boron Nitride Nanosheets Obtained from Molecular Dynamics Simulation: A Machine Learning Method

Obtaining the mechanical properties of boron nitride nanosheets (BNNSs) requires extensive computational atomistic simulations, so it is necessary to predict to reduce time costs. In this work, we obtained the ultimate tensile strength and Young’s modulus of the BNNS material through molecular dynam...

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Bibliographic Details
Main Authors: Jiansheng Pan, Huan Liu, Wendong Zhu, Shunbo Wang, Xifeng Gao, Pengyue Zhao
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Crystals
Subjects:
machine learning
boron nitride nanosheets
mechanical performance prediction
molecular dynamics
Online Access:https://www.mdpi.com/2073-4352/14/1/52

Internet

https://www.mdpi.com/2073-4352/14/1/52

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