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Title: Defects in MX2 (DMX) 2.0: STEM Digital Twins

Abstract

DFT is used to optimize defects in monolayer MX2 phases. We calculate ~600 optimized defect structures, then use multislice simulations in abTEM to generate STEM digital twins, which can be used to train experimental ML. The reference paper for procedures and demonstration of their utility is https://arxiv.org/abs/2305.02917, and the images here correspond with the discussed "Messy" dataset. Version 2 includes an auxiliary dataset matched with experiment.

Authors:
; ; ;
  1. ORNL-OLCF
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Office of Science (SC)
Subject:
36 MATERIALS SCIENCE
OSTI Identifier:
2203442
DOI:
https://doi.org/10.13139/ORNLNCCS/2203442

Citation Formats

Fuhr, Addis, Ganesh, Panchapakesan, Vasudevan, Rama, and Sumpter, Bobby. Defects in MX2 (DMX) 2.0: STEM Digital Twins. United States: N. p., 2023. Web. doi:10.13139/ORNLNCCS/2203442.
Fuhr, Addis, Ganesh, Panchapakesan, Vasudevan, Rama, & Sumpter, Bobby. Defects in MX2 (DMX) 2.0: STEM Digital Twins. United States. doi:https://doi.org/10.13139/ORNLNCCS/2203442
Fuhr, Addis, Ganesh, Panchapakesan, Vasudevan, Rama, and Sumpter, Bobby. 2023. "Defects in MX2 (DMX) 2.0: STEM Digital Twins". United States. doi:https://doi.org/10.13139/ORNLNCCS/2203442. https://www.osti.gov/servlets/purl/2203442. Pub date:Mon Nov 20 04:00:00 UTC 2023
@article{osti_2203442,
title = {Defects in MX2 (DMX) 2.0: STEM Digital Twins},
author = {Fuhr, Addis and Ganesh, Panchapakesan and Vasudevan, Rama and Sumpter, Bobby},
abstractNote = {DFT is used to optimize defects in monolayer MX2 phases. We calculate ~600 optimized defect structures, then use multislice simulations in abTEM to generate STEM digital twins, which can be used to train experimental ML. The reference paper for procedures and demonstration of their utility is https://arxiv.org/abs/2305.02917, and the images here correspond with the discussed "Messy" dataset. Version 2 includes an auxiliary dataset matched with experiment.},
doi = {10.13139/ORNLNCCS/2203442},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 20 04:00:00 UTC 2023},
month = {Mon Nov 20 04:00:00 UTC 2023}
}