Machine learning assisted prediction of mechanical properties of graphene/aluminium nanocomposite based on molecular dynamics simulation

标题
Machine learning assisted prediction of mechanical properties of graphene/aluminium nanocomposite based on molecular dynamics simulation
作者
关键词
Artificial neural network (ANN), Support vector machine (SVM), Molecular dynamics (MD) simulation, Young’s modulus, Ultimate tensile strength, Halpin-Tsai model
出版物
MATERIALS & DESIGN
Volume 213, Issue -, Pages 110334
出版商
Elsevier BV
发表日期
2021-12-29
DOI
10.1016/j.matdes.2021.110334

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