Surface Dynamics of Selective Hydration of Rutile TiO<sub>2</sub>: A Kinetic Monte Carlo Approach

The utility of atomic layer deposition (ALD) continues to expand beyond conformal thin-film fabrication to include area- or site-selective ALD. We previously identified a strategy for site-selective ALD (SS-ALD) via the evaluation of thermodynamically preferred hydration of rutile TiO2 surfaces, as deduced from electronic structure calculations. Here, we report a novel kinetic Monte Carlo (KMC) model that allows for the investigation of surface dynamics and kinetics that improves our understanding of and intuition for the selective hydration strategy. We demonstrate the validity of the strategy with respect to step-edge defects for the lowest energy (110) facet as well as report results for the other common facets which agree with experimental STM observations. The results here indicate that the selective hydration strategy is feasible both thermodynamically (evaluated in our previous publication) and kinetically (from the KMC model). Because diffusion has a slower rate than others, we find that any proximity effects between terrace and defect sites are unlikely to affect the selective hydration strategy for rutile TiO2. The KMC model further provides relevant timescales for achieving selectivity experimentally and establishes the kinetic viability of the selective hydration approach to SS-ALD.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry C
Published
2024-09-17
DOI
https://doi.org/10.1021/acs.jpcc.4c00601
Citations
5
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface Dynamics of Selective Hydration of Rutile TiO2: A Kinetic Monte Carlo Approach

Alex B. F. Martinson, Jessica C. Jones, Jeffrey R. Guest, Jiayi Xu et al.
5 citations
The Journal of Physical Chemistry C
Catalytic Processes in Materials Science
0.59
article

Surface Dynamics of Selective Hydration of Rutile TiO2: A Kinetic Monte Carlo Approach

Alex B. F. Martinson, Jessica C. Jones, Jeffrey R. Guest, Jiayi Xu, Ethan P. Kamphaus, Cong Liu, Lei Cheng
article en
5 citations

Abstract

The utility of atomic layer deposition (ALD) continues to expand beyond conformal thin-film fabrication to include area- or site-selective ALD. We previously identified a strategy for site-selective ALD (SS-ALD) via the evaluation of thermodynamically preferred hydration of rutile TiO2 surfaces, as deduced from electronic structure calculations. Here, we report a novel kinetic Monte Carlo (KMC) model that allows for the investigation of surface dynamics and kinetics that improves our understanding of and intuition for the selective hydration strategy. We demonstrate the validity of the strategy with respect to step-edge defects for the lowest energy (110) facet as well as report results for the other common facets which agree with experimental STM observations. The results here indicate that the selective hydration strategy is feasible both thermodynamically (evaluated in our previous publication) and kinetically (from the KMC model). Because diffusion has a slower rate than others, we find that any proximity effects between terrace and defect sites are unlikely to affect the selective hydration strategy for rutile TiO2. The KMC model further provides relevant timescales for achieving selectivity experimentally and establishes the kinetic viability of the selective hydration approach to SS-ALD.

The Journal of Physical Chemistry CVol. 128(38)
Argonne National Laboratory (US)
Openalex Percentile: Top 34%
Catalytic Processes in Materials Science
0.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Surface Dynamics of Selective Hydration of Rutile TiO<sub>2</sub>: A Kinetic Monte Carlo Approach — Alex B. F. Martinson, Jessica C. Jones, et al. · The Journal of Physical Chemistry C (2024) | TGRS Research Map | TGRS