Elucidating the Evolving Atomic Structure in Atomic Layer Deposition Reactions with in Situ XANES and Machine Learning
Abstract
Precision synthesis of thin films requires an improved mechanistic understanding of the structural evolution of materials at the atomic scale. Atomic layer deposition (ALD) is a critical nanofabrication technique that enables fine-tuning of atomic structure and thickness as a result of its layer-by-layer growth behavior. In this study, in situ X-ray absorption spectra of the S K-edge during ALD growth of ZnS thin films on TiO2 nanoparticles were collected and analyzed. The experimental results show that both sulfide and sulfate species form during the nucleation phase of ZnS on TiO2. As film growth proceeds, the S K-edge of the in situ ZnS film converges to that of a representative ex situ ALD ZnS film. By building representative atomistic models, a high-throughput screening method was developed to determine the most probable atomic configurations as the film structure evolves. Specifically, the screening method consisted of a supervised machine learning analysis of thousands of simulated X-ray absorption near edge structure (XANES) spectra. Atomic-level insight was gained into changes in the coordination environment of surface species as they transitioned from the nucleation phase toward the crystalline ZnS phase. The experimental and computational strategies presented herein provide an example of how in situ synchrotron-based characterizationmore »
- Authors:
-
[4];
[2];
[1]
- Univ. of Michigan, Ann Arbor, MI (United States)
- Norwegian Univ. of Science and Technology (NTNU), Trondheim (Norway)
- Stanford Univ., CA (United States)
- SLAC National Accelerator Lab., Menlo Park, CA (United States). Stanford Synchrotron Radiation Lightsource (SSRL)
- Publication Date:
- Research Org.:
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE); National Science Foundation (NSF); Research Council of Norway; Austrian Research Fund (FWF)
- OSTI Identifier:
- 1598269
- Grant/Contract Number:
- AC02-76SF00515; 274459; NJ3505-N20; 1727918
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Chemistry of Materials
- Additional Journal Information:
- Journal Volume: 31; Journal Issue: 21; Journal ID: ISSN 0897-4756
- Publisher:
- American Chemical Society (ACS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Citation Formats
Trejo, Orlando, Dadlani, Anup L., De La Paz, Francisco, Acharya, Shinjita, Kravec, Rob, Nordlund, Dennis, Sarangi, Ritimukta, Prinz, Fritz B., Torgersen, Jan, and Dasgupta, Neil P. Elucidating the Evolving Atomic Structure in Atomic Layer Deposition Reactions with in Situ XANES and Machine Learning. United States: N. p., 2019.
Web. doi:10.1021/acs.chemmater.9b03025.
Trejo, Orlando, Dadlani, Anup L., De La Paz, Francisco, Acharya, Shinjita, Kravec, Rob, Nordlund, Dennis, Sarangi, Ritimukta, Prinz, Fritz B., Torgersen, Jan, & Dasgupta, Neil P. Elucidating the Evolving Atomic Structure in Atomic Layer Deposition Reactions with in Situ XANES and Machine Learning. United States. https://doi.org/10.1021/acs.chemmater.9b03025
Trejo, Orlando, Dadlani, Anup L., De La Paz, Francisco, Acharya, Shinjita, Kravec, Rob, Nordlund, Dennis, Sarangi, Ritimukta, Prinz, Fritz B., Torgersen, Jan, and Dasgupta, Neil P. Mon .
"Elucidating the Evolving Atomic Structure in Atomic Layer Deposition Reactions with in Situ XANES and Machine Learning". United States. https://doi.org/10.1021/acs.chemmater.9b03025. https://www.osti.gov/servlets/purl/1598269.
@article{osti_1598269,
title = {Elucidating the Evolving Atomic Structure in Atomic Layer Deposition Reactions with in Situ XANES and Machine Learning},
author = {Trejo, Orlando and Dadlani, Anup L. and De La Paz, Francisco and Acharya, Shinjita and Kravec, Rob and Nordlund, Dennis and Sarangi, Ritimukta and Prinz, Fritz B. and Torgersen, Jan and Dasgupta, Neil P.},
abstractNote = {Precision synthesis of thin films requires an improved mechanistic understanding of the structural evolution of materials at the atomic scale. Atomic layer deposition (ALD) is a critical nanofabrication technique that enables fine-tuning of atomic structure and thickness as a result of its layer-by-layer growth behavior. In this study, in situ X-ray absorption spectra of the S K-edge during ALD growth of ZnS thin films on TiO2 nanoparticles were collected and analyzed. The experimental results show that both sulfide and sulfate species form during the nucleation phase of ZnS on TiO2. As film growth proceeds, the S K-edge of the in situ ZnS film converges to that of a representative ex situ ALD ZnS film. By building representative atomistic models, a high-throughput screening method was developed to determine the most probable atomic configurations as the film structure evolves. Specifically, the screening method consisted of a supervised machine learning analysis of thousands of simulated X-ray absorption near edge structure (XANES) spectra. Atomic-level insight was gained into changes in the coordination environment of surface species as they transitioned from the nucleation phase toward the crystalline ZnS phase. The experimental and computational strategies presented herein provide an example of how in situ synchrotron-based characterization can be leveraged using robust modeling approaches to elucidate the ordering of atoms during thin-film growth.},
doi = {10.1021/acs.chemmater.9b03025},
journal = {Chemistry of Materials},
number = 21,
volume = 31,
place = {United States},
year = {Mon Nov 04 00:00:00 EST 2019},
month = {Mon Nov 04 00:00:00 EST 2019}
}
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