Multi-scale study of cobalt adsorption on TiO2 anatase (101): From DFT to force-field parameterization

Understanding metal-support interactions (MSI) is critical for designing stable and efficient catalysts, such as cobalt catalysts on TiO2, commonly employed in Fischer-Tropsch synthesis. This study investigates cobalt adsorption on the TiO2 anatase (101) surface through a computational approach, combining density functional theory (DFT), ab initio molecular dynamics (AIMD) simulation, and genetic algorithm-based force field parameterization. It is shown that Co clusters get substantially oxidized due to interaction with oxygen atoms of the support. The parameterization of Morse potential force field is achieved using an automated and combined genetic algorithm (GA) - molecular dynamics (MD) simulation approach, leveraging AIMD simulations to capture the dynamic nature of MSI effectively in the training dataset. This method incorporates simulations with the Large-scale Atomic/Molecular Massively Parallel Simulator into the GA framework, thereby streamlining the optimization process for the force field, facilitating an efficient exploration of the parameter space. This new force field, validated against DFT results, offers an efficient tool for modeling MSI at larger length scales and longer timescales. Our findings highlight how MSI influences cobalt cluster stability, electron transfer, and surface restructuring, directly impacting catalytic performance and resistance to sintering. The methodology presented in this study offers a versatile framework that can be adapted to other metal-support systems with system-specific reparameterization and validation, enabling comprehensive investigation of mesoscale MSI studies on explicit oxide surfaces, facilitating further advances in heterogeneous catalysis research and applications. The findings highlight the influence of MSI on cobalt cluster stability, electron transfer, and surface reconstruction, all of which are crucial to catalytic activity and sintering resistance.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2025-10-23
DOI
https://doi.org/10.1063/5.0282874
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-scale study of cobalt adsorption on TiO2 anatase (101): From DFT to force-field parameterization

Prathamesh M. Shenai, G. Leendert Bezemer, Konstantinos D. Papavasileiou, Alexander P. van Bavel et al.
The Journal of Chemical Physics
Catalytic Processes in Materials Science
article

Multi-scale study of cobalt adsorption on TiO2 anatase (101): From DFT to force-field parameterization

Prathamesh M. Shenai, G. Leendert Bezemer, Konstantinos D. Papavasileiou, Alexander P. van Bavel, Loukas D. Peristeras, Asma Marzouk
article en

Abstract

Understanding metal-support interactions (MSI) is critical for designing stable and efficient catalysts, such as cobalt catalysts on TiO2, commonly employed in Fischer-Tropsch synthesis. This study investigates cobalt adsorption on the TiO2 anatase (101) surface through a computational approach, combining density functional theory (DFT), ab initio molecular dynamics (AIMD) simulation, and genetic algorithm-based force field parameterization. It is shown that Co clusters get substantially oxidized due to interaction with oxygen atoms of the support. The parameterization of Morse potential force field is achieved using an automated and combined genetic algorithm (GA) - molecular dynamics (MD) simulation approach, leveraging AIMD simulations to capture the dynamic nature of MSI effectively in the training dataset. This method incorporates simulations with the Large-scale Atomic/Molecular Massively Parallel Simulator into the GA framework, thereby streamlining the optimization process for the force field, facilitating an efficient exploration of the parameter space. This new force field, validated against DFT results, offers an efficient tool for modeling MSI at larger length scales and longer timescales. Our findings highlight how MSI influences cobalt cluster stability, electron transfer, and surface restructuring, directly impacting catalytic performance and resistance to sintering. The methodology presented in this study offers a versatile framework that can be adapted to other metal-support systems with system-specific reparameterization and validation, enabling comprehensive investigation of mesoscale MSI studies on explicit oxide surfaces, facilitating further advances in heterogeneous catalysis research and applications. The findings highlight the influence of MSI on cobalt cluster stability, electron transfer, and surface reconstruction, all of which are crucial to catalytic activity and sintering resistance.

The Journal of Chemical PhysicsVol. 163(16)
National Centre of Scientific Research "Demokritos" (GR), Shell (India) (IN), Texas A&M University at Qatar (QA), Shell (Netherlands) (NL)
Openalex Percentile: Top 76%
Catalytic Processes in Materials Science
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.