CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Deep learning investigated identification of point defects in monolayer 2H-MoTe2
Authors
SI YOUNG CHOI
HWAN YANG DONG
+5 more
KYOUNGJUNE GO
FRANCIS NGOME OKELLO ODONGO
양세정
추유성
한중훈
Publication date
11 November 2021
Publisher
The Korean Institute of Electrical and Electronic Material Engineers, 한국전기전자재료학회
Abstract
1
Similar works
Full text
Available Versions
포항공과대학교
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:oasis.postech.ac.kr:2014.o...
Last time updated on 19/05/2022