Bandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach-Reference-Cited by-同舟云学术

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Bandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach

Published:2022-12 Issue: Volume:171 Page:110973
ISSN:0022-3697
Container-title:Journal of Physics and Chemistry of Solids
language:en
Short-container-title:Journal of Physics and Chemistry of Solids

Author:

Kumar Upendra^ORCID,Mishra Km Arti^ORCID,Kushwaha Ajay Kumar^ORCID,Cho Sung Beom^ORCID

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Materials Science,General Chemistry

Reference58 articles.

1. The rise of graphene;Geim,2010

2. Quantum Rabi oscillations in graphene;Enamullah;J. Opt. Soc. Amer. B,2014

3. 2D transition metal dichalcogenides;Manzeli;Nature Rev. Mater.,2017

4. Electronics and optoelectronics of two-dimensional transition metal dichalcogenides;Wang;Nature Nanotechnol.,2012

5. Atomically thin mos2: a new direct-gap semiconductor;Mak;Phys. Rev. Lett.,2010

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1. A machine learning framework for predicting physical properties in configuration space of gate alloys;Materials Today Communications;2023-12

2. Effects of transition metal dopants and Se-vacancy defects on carbon monoxide sensitivity of WSe2/graphene heterostructures;Materials Chemistry and Physics;2023-12

3. A Comparative DFT Study of Bandgap Engineering and Tuning of Structural, Electronic, and Optical Properties of 2D WS2, PtS2, and MoS2 between WSe2, PtSe2, and MoSe2 Materials for Photocatalytic and Solar Cell Applications;Journal of Inorganic and Organometallic Polymers and Materials;2023-08-24

4. Investigation of structural, electronic and optical properties of two-dimensional MoS ₂ -doped-V ₂ O ₅ composites for photocatalytic application: a density functional theory study;Royal Society Open Science;2023-07

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