国家/地区 Usa（7） China（3） Australia（2） Canada（2）
关键词 DEEP LEARNING（17）
出版物 ACS APPLIED ELECTRO.（2） CARBON（2）
出版时间 2022（8） 2020（3） 2023（3） 2021（2）
机构
作者 DEWAPRIYA MA.（2） DIAS WPS（2） DUAN WH（2） LIN JL（2）
RAJAPAKSE RK.（2） SAGOECRENTSI.（2）

Contrast Transfer Function-Based Exit-Wave Reconstruction and Denoising of Atomic-Resolution Transmission Electron Microscopy Images of Graphene and Cu Single Atom Substitutions by Deep Learning Framework

NANOMATERIALS

LEE J, LEE Y, KIM J, LEE Z

Characterizing fracture stress of defective graphene samples using shallow and deep artificial neural networks

CARBON

DEWAPRIYA MAN, RAJAPAKSE RKND, DIAS WPS

Deep Learning for the Inverse Design of Mid-Infrared Graphene Plasmons

CRYSTALS

PHAN AD, NGUYEN CV, LINH PT, HUYNH TV, LAM VD, LE AT, WAKABAYASHI K

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

Rapid detection of defect structures in graphene by the machine learning

MODERN PHYSICS LETTERS B

WU YT, LI LX, WANG B, ZHU ZZ, GAO TH, XIE Q, CHEN Q, XIAO QQ

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

INTERNATIONAL JOURNAL OF FRACTURE

DEWAPRIYA MAN, RAJAPAKSE RKND, DIAS WPS

Deep Learning Enabled High-Performance Speech Command Recognition on Graphene Flexible Microphones

ACS APPLIED ELECTRONIC MATERIALS

ZHANG XY, LIU H, MA XY, WANG ZC, LI GP, HAN L, SUN K, YANG QS, JI SR, YU DL, LI YT, REN TL

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