国家/地区 Usa（5）
关键词 MACHINE LEARNING（7）
出版物
出版时间 2020（7）
机构
作者

Machine-learning models for Raman spectra analysis of twisted bilayer graphene

CARBON

SHEREMETYEVA N, LAMPARSKI M, DANIELS C, VAN TROEYE B, MEUNIER V

Crowd-Sourced Data and Analysis Tools for Advancing the Chemical Vapor Deposition of Graphene: Implications for Manufacturing

ACS APPLIED NANO MATERIALS

SCHILLER JA, TORO R, SHAH A, SURANA M, ZHANG KH, ROBERTSON M, MILLER K, CRUSE K, LIU K, SEONG B, SEOL C, FOSTER IT, BLAISZIK BJ, GALEWSKY B, ADAMS D, KATZ DS, FERREIRA P, ERTEKIN E, TAWFICK S

Machine Learning-Based Detection of Graphene Defects with Atomic Precision

NANOMICRO LETTERS

ZHENG BW, GU GX

A High Throughput and Unbiased Machine Learning Approach for Classification of Graphene Dispersions

ADVANCED SCIENCE

ABEDIN MJ, BARUA T, SHAIBANI M, MAJUMDER M

Multilayer Epitaxial Graphene on Silicon Carbide: A Stable Working Electrode for Seawater Samples Spiked with Environmental Contaminants

SENSORS

SHRIVERLAKE LC, MYERSWARD RL, DEAN SN, ERICKSON JS, STENGER DA, TRAMMELL SA

Electronic structure calculations of twisted multi-layer graphene superlattices

2D MATERIALS

TRITSARIS GA, CARR S, ZHU ZY, XIE YQ, TORRISI SB, TANG J, MATTHEAKIS M, LARSON DT, KAXIRAS E

Diffusion Barrier Prediction of Graphene and Boron Nitride for Copper Interconnects by Deep Learning

IEEE ACCESS

AHMED M, LI Y, CHEN WC, LI EP