Structure of chalcogen overlayers on Au(111): Density functional theory and lattice-gas modeling
Abstract
Ordering of different chalcogens, S, Se, and Te, on Au(111) exhibit broad similarities but also some distinct features, which must reflect subtle differences in relative values of the long-range pair and many-body lateral interactions between adatoms. We develop lattice-gas (LG) models within a cluster expansion framework, which includes about 50 interaction parameters. These LG models are developed based on density functional theory (DFT) analysis of the energetics of key adlayer configurations in combination with the Monte Carlo (MC) simulation of the LG models to identify statistically relevant adlayer motifs, i.e., model development is based entirely on theoretical considerations. The MC simulation guides additional DFT analysis and iterative model refinement. Given their complexity, development of optimal models is also aided by strategies from supervised machine learning. The model for S successfully captures ordering motifs over a broader range of coverage than achieved by previous models, and models for Se and Te capture the features of ordering, which are distinct from those for S. More specifically, the modeling for all three chalcogens successfully explains the linear adatom rows (also subtle differences between them) observed at low coverages of ~0.1 monolayer. The model for S also leads to a new possible explanation formore »
- Authors:
-
- Ames Lab., Ames, IA (United States)
- Ames Lab., Ames, IA (United States); Iowa State Univ., Ames, IA (United States)
- Publication Date:
- Research Org.:
- Ames Laboratory (AMES), Ames, IA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division; National Science Foundation (NSF)
- OSTI Identifier:
- 1632685
- Alternate Identifier(s):
- OSTI ID: 1632722
- Report Number(s):
- IS-J-10,238
Journal ID: ISSN 0021-9606; TRN: US2201374
- Grant/Contract Number:
- AC02-07CH11358; AC02-05CH11231; CHE-1507223
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Chemical Physics
- Additional Journal Information:
- Journal Volume: 152; Journal Issue: 22; Journal ID: ISSN 0021-9606
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Citation Formats
Liu, Da-Jiang, Evans, James W., Spurgeon, Peter M., and Thiel, Patricia A. Structure of chalcogen overlayers on Au(111): Density functional theory and lattice-gas modeling. United States: N. p., 2020.
Web. doi:10.1063/5.0006131.
Liu, Da-Jiang, Evans, James W., Spurgeon, Peter M., & Thiel, Patricia A. Structure of chalcogen overlayers on Au(111): Density functional theory and lattice-gas modeling. United States. https://doi.org/10.1063/5.0006131
Liu, Da-Jiang, Evans, James W., Spurgeon, Peter M., and Thiel, Patricia A. Tue .
"Structure of chalcogen overlayers on Au(111): Density functional theory and lattice-gas modeling". United States. https://doi.org/10.1063/5.0006131. https://www.osti.gov/servlets/purl/1632685.
@article{osti_1632685,
title = {Structure of chalcogen overlayers on Au(111): Density functional theory and lattice-gas modeling},
author = {Liu, Da-Jiang and Evans, James W. and Spurgeon, Peter M. and Thiel, Patricia A.},
abstractNote = {Ordering of different chalcogens, S, Se, and Te, on Au(111) exhibit broad similarities but also some distinct features, which must reflect subtle differences in relative values of the long-range pair and many-body lateral interactions between adatoms. We develop lattice-gas (LG) models within a cluster expansion framework, which includes about 50 interaction parameters. These LG models are developed based on density functional theory (DFT) analysis of the energetics of key adlayer configurations in combination with the Monte Carlo (MC) simulation of the LG models to identify statistically relevant adlayer motifs, i.e., model development is based entirely on theoretical considerations. The MC simulation guides additional DFT analysis and iterative model refinement. Given their complexity, development of optimal models is also aided by strategies from supervised machine learning. The model for S successfully captures ordering motifs over a broader range of coverage than achieved by previous models, and models for Se and Te capture the features of ordering, which are distinct from those for S. More specifically, the modeling for all three chalcogens successfully explains the linear adatom rows (also subtle differences between them) observed at low coverages of ~0.1 monolayer. The model for S also leads to a new possible explanation for the experimentally observed phase with a (5 × 5)-type low energy electron diffraction (LEED) pattern at 0.28 ML and to predictions for LEED patterns that would be observed with Se and Te at this coverage.},
doi = {10.1063/5.0006131},
journal = {Journal of Chemical Physics},
number = 22,
volume = 152,
place = {United States},
year = {Tue Jun 09 00:00:00 EDT 2020},
month = {Tue Jun 09 00:00:00 EDT 2020}
}
Web of Science
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