Fast and transferable interatomic potential for alloys, compounds, and hydrides in the Fe–Cr–Ni–Ti–H system

Fast and transferable interatomic potentials are in high demand for atomistic simulations of multicomponent systems, particularly those involving compounds and hydrides. In this work, we present a new classical interatomic model for the Fe–Cr–Ni–Ti–H system in the form of an angular-dependent potential (ADP). The potential accurately reproduces key thermodynamic and kinetic properties, phase stability, elastic properties, defect energetics and migration behavior in different materials: alloys, compounds, and hydrides. Benchmark tests demonstrate that the reported classical potential achieves an accuracy comparable to that of modern machine-learning interatomic models. At the same time, its classical functional form provides high computational efficiency, making the potential well suited for a variety of large-scale simulations involving millions of atoms over extended time scales. As representative examples, we present two large-scale atomistic simulation studies. The first examines strain-induced transformations near a crack tip in Fe-based alloys. The second case investigates hydride formation in FeTi compounds upon exposure to a molecular hydrogen environment. These examples demonstrate that the developed ADP model is capable of capturing complex phenomena in technologically relevant materials.

Authors

Institutions

Publication Details

Journal
Computational Materials Science
Published
2026-10-28
DOI
https://doi.org/10.1016/j.commatsci.2026.115182
Primary Topic
Fusion materials and technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast and transferable interatomic potential for alloys, compounds, and hydrides in the Fe–Cr–Ni–Ti–H system

Daria Smirnova, Petr Grigorev, Sergey Starikov
5 links
Computational Materials Science
Fusion materials and technologies
article

Fast and transferable interatomic potential for alloys, compounds, and hydrides in the Fe–Cr–Ni–Ti–H system

Daria Smirnova, Petr Grigorev, Sergey Starikov
article en

Abstract

Fast and transferable interatomic potentials are in high demand for atomistic simulations of multicomponent systems, particularly those involving compounds and hydrides. In this work, we present a new classical interatomic model for the Fe–Cr–Ni–Ti–H system in the form of an angular-dependent potential (ADP). The potential accurately reproduces key thermodynamic and kinetic properties, phase stability, elastic properties, defect energetics and migration behavior in different materials: alloys, compounds, and hydrides. Benchmark tests demonstrate that the reported classical potential achieves an accuracy comparable to that of modern machine-learning interatomic models. At the same time, its classical functional form provides high computational efficiency, making the potential well suited for a variety of large-scale simulations involving millions of atoms over extended time scales. As representative examples, we present two large-scale atomistic simulation studies. The first examines strain-induced transformations near a crack tip in Fe-based alloys. The second case investigates hydride formation in FeTi compounds upon exposure to a molecular hydrogen environment. These examples demonstrate that the developed ADP model is capable of capturing complex phenomena in technologically relevant materials.

Computational Materials ScienceVol. 276
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Max-Planck-Institut für Nachhaltige Materialien (DE), Institut National des Sciences Appliquées de Lyon (FR), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 29%
Fusion materials and technologies
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.

Laika access coming soon