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Interatomic potential
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Keyword
keyword
Interatomic potential
RIS
0.003
(Research Intensity Score)
Papers
358
Top papers
Machine learning interatomic potential: Bridge the gap between small-scale models and realistic device-scale simulations
2024 · 121 citations
PET-MAD as a lightweight universal interatomic potential for advanced materials modeling
2025 · 42 citations
First‐Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine‐Learning Interatomic Potentials
2021 · 335 citations
Thermal transport and phase transitions of zirconia by on-the-fly machine-learned interatomic potentials
2021 · 156 citations
An accurate and transferable machine learning potential for carbon
2020 · 275 citations
Graph atomic cluster expansion for foundational machine learning interatomic potentials
2026 · 12 citations
An accurate and transferable machine learning potential for carbon.
2020 · 247 citations
Massive Atomic Diversity: a compact universal dataset for atomistic machine learning
2025 · 13 citations
Accelerating point defect photo-emission calculations with machine learning interatomic potentials
2025 · 11 citations
Newest papers
Graph atomic cluster expansion for foundational machine learning interatomic potentials
2026 · 12 citations
Accurate, transferable, and verifiable machine-learned interatomic potentials for layered materials
2026 · 1 citations
Mixture of experts architectures for machine learning interatomic potentials
2026
Insights into the point defect properties and Xe behaviors in U3Si2 fuel from molecular dynamics simulations with new ternary U-Si-Xe interatomic potential
2026
Mechanical properties of amorphous solids
2026
Emission of Cluster Ions During Surface Sputtering
2026
Cross-Geometry Transferability Assessment of Universal Machine Learning Interatomic Potentials: From Bulk Materials to Atomic Nanowires
2026
Machine learning interatomic potential for the structural properties of iron oxides
2026 · 2 citations
An Exchange-Correlation Functional for Fast and Accurate Modeling of Ferroelectric Perovskites
2026
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