国家/地区 Usa（7）
关键词 DEEP LEARNING（7）
出版物
出版时间 2022（3） 2021（2）
机构
作者

Deep Learning to Speed up the Development of Structure-Property Relations For Hexagonal Boron Nitride and Graphene

SMALL

HUNDI P, SHAHSAVARI R

A deep learning model for predicting mechanical properties of polycrystalline graphene

COMPUTATIONAL MATERIALS SCIENCE

SHISHIR IR, ELAPOLU MSR, TABARRAEI A

Classifiable Limiting Mass Change Detection in a Graphene Resonator Using Applied Machine Learning

ACS APPLIED ELECTRONIC MATERIALS

SEO M, YANG E, SHIN DH, JE Y, JOO C, LEE K, LEE SW

Modified UNet plus plus with attention gate for graphene identification by optical microscopy

CARBON

YANG B, WU MX, TEIZER W

Pathways to controlled 3D deformation of graphene: Manipulating the motion of topological defects

CURRENT OPINION IN SOLID STATE MATERIALS SCIENCE

ANNEVELINK E, JOHNSON HT, ERTEKIN E

Tracking atomic structure evolution during directed electron beam induced Si-atom motion in graphene via deep machine learning

NANOTECHNOLOGY

MAXIM Z, JESSE S, SUMPTER BG, KALININ SV, DYCK O

Developing Potential Energy Surfaces for Graphene-Based 2D-3D Interfaces From Modified High-Dimensional Neural Networks for Applications in Energy Storage

JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION STORAGE

SHARMA V, DATTA D