Comprehensive assessment of empirical potentials for molecular dynamics simulations of chromia

The importance of Cr 2 O 3 (chromia) lies in its ability to form protective layers on chromium-rich metallic alloys, which is utilised in the industry for constructing corrosion-resistant austenitic steels and nickel-based alloys. A better understanding of large defects in Cr 2 O 3 is critical because these defects play a crucial role in the growth kinetics of the protective chromia scale, influencing self-diffusion mechanisms, dominant defect types, and diffusion behaviour, all of which can influence the performance and durability of chromium-based alloys. This study presents a comprehensive evaluation of various empirical potentials for simulating the properties of Cr 2 O 3 in order to determine the best model to use to simulate extended defects. The assessment is focused on structural, thermodynamic, elastic, point defect, and grain boundary characteristics. An extensive literature review was conducted to compile a dataset for validating the available empirical potentials for Cr 2 O 3 from the literature. The evaluation of these empirical potentials provides valuable insights into their strengths and limitations, enabling researchers to make informed decisions when selecting appropriate potentials for simulating various properties of Cr 2 O 3 . This study's findings contribute to the ongoing efforts to improve the accuracy and reliability of computational materials science methods for predicting the behaviour of complex oxides. • Molecular dynamics simulationsusing empirical potentials are a valuable tool to investigate complex diffusion mechanisms. • Many empirical potentials are available for molecular dynamics simulations of chromia. • These potentials were assessed with a focus on their ability to reproduce crystal structures, defects and diffusion. • The most accurate potentials to simulate diffusion and complex defects structures in chromia were determined.

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Publication Details

Journal
Solid State Ionics
Published
2025-01-10
DOI
https://doi.org/10.1016/j.ssi.2024.116781
Citations
1
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.52
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article

Comprehensive assessment of empirical potentials for molecular dynamics simulations of chromia

Paul Fossati
1 citations
Solid State Ionics
Machine Learning in Materials Science
0.52
article

Comprehensive assessment of empirical potentials for molecular dynamics simulations of chromia

Paul Fossati
article en
1 citations

Abstract

The importance of Cr 2 O 3 (chromia) lies in its ability to form protective layers on chromium-rich metallic alloys, which is utilised in the industry for constructing corrosion-resistant austenitic steels and nickel-based alloys. A better understanding of large defects in Cr 2 O 3 is critical because these defects play a crucial role in the growth kinetics of the protective chromia scale, influencing self-diffusion mechanisms, dominant defect types, and diffusion behaviour, all of which can influence the performance and durability of chromium-based alloys. This study presents a comprehensive evaluation of various empirical potentials for simulating the properties of Cr 2 O 3 in order to determine the best model to use to simulate extended defects. The assessment is focused on structural, thermodynamic, elastic, point defect, and grain boundary characteristics. An extensive literature review was conducted to compile a dataset for validating the available empirical potentials for Cr 2 O 3 from the literature. The evaluation of these empirical potentials provides valuable insights into their strengths and limitations, enabling researchers to make informed decisions when selecting appropriate potentials for simulating various properties of Cr 2 O 3 . This study's findings contribute to the ongoing efforts to improve the accuracy and reliability of computational materials science methods for predicting the behaviour of complex oxides. • Molecular dynamics simulationsusing empirical potentials are a valuable tool to investigate complex diffusion mechanisms. • Many empirical potentials are available for molecular dynamics simulations of chromia. • These potentials were assessed with a focus on their ability to reproduce crystal structures, defects and diffusion. • The most accurate potentials to simulate diffusion and complex defects structures in chromia were determined.

Solid State IonicsVol. 420
Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), CEA Paris-Saclay (FR)
Openalex Percentile: Top 43%
Machine Learning in Materials Science
0.52
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Comprehensive assessment of empirical potentials for molecular dynamics simulations of chromia — Paul Fossati · Solid State Ionics (2025) | TGRS Research Map | TGRS