Defect Dynamics in 2-D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy-Reference-Cited by-同舟云学术

Defect Dynamics in 2-D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy

Published:2018-08-03 Issue:8 Volume:12 Page:8006-8016
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Patra Tarak K.,Zhang Fu,Schulman Daniel S.^ORCID,Chan Henry^ORCID,Cherukara Mathew J.^ORCID,Terrones Mauricio,Das Saptarshi^ORCID,Narayanan Badri^ORCID,Sankaranarayanan Subramanian K. R. S.¹^ORCID

Affiliation:

1. Computational Institute, University of Chicago, Chicago, Illinois 60637, United States

Funder

U.S. Department of Defense

U.S. Department of Energy

National Science Foundation

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.8b02844

Reference70 articles.

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4. Disentangling contributions of point and line defects in the Raman spectra of graphene-related materials

5. Intrinsic Structural Defects in Monolayer Molybdenum Disulfide

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