国家/地区
关键词 DEEP LEARNING（3）
出版物
出版时间 2023（3）
机构
作者

A deep learning model for predicting mechanical properties of polycrystalline graphene

COMPUTATIONAL MATERIALS SCIENCE

SHISHIR IR, ELAPOLU MSR, TABARRAEI A

Uncovering stress fields and defects distributions in graphene using deep neural networks

INTERNATIONAL JOURNAL OF FRACTURE

DEWAPRIYA MAN, RAJAPAKSE RKND, DIAS WPS

Data-Driven Discovery of Graphene-Based Dual-Atom Catalysts for Hydrogen Evolution Reaction with Graph Neural Network and DFT Calculations

ACS APPLIED MATERIALS INTERFACES

BOONPALIT K, WONGNONGWA Y, PROMMIN C, NUTANONG S, NAMUANGRUK S