Atomic cluster expansion for accurate and transferable interatomic potentials

• Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials

  2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access

  1

  citations
• Atomic-scale insights into interfacial thermal transport in AlN/Al₂O₃ Heterostructures via deep potential molecular dynamics

  2026 Surfaces and Interfaces article Materials Science Thermal properties of materials

  1

  citations
• A symmetry-preserving and transferable representation for learning the Kohn–Sham density matrix

  2026 Digital Discovery article Materials Science Machine Learning in Materials Science Open access

  1

  citations
• Towards sustainable exploration of chemical spaces with machine learning

  2026 Digital Discovery article Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Atomic-scale modeling of defects in magnesium and its alloys: A review

  2025 Journal of Magnesium and Alloys article Materials Science Magnesium Alloys: Properties and Applications Open access

  0

  citations
• Non-basal plasticity in the μ-phase at room temperature

  2024 Acta Materialia article Materials Science Microstructure and mechanical properties Open access

  11

  citations
• Polynomial approximation of symmetric functions

  2023 Mathematics of Computation article Mathematics Mathematical Approximation and Integration Open access

  7

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• Grassmann Extrapolation of Density Matrices for Born–Oppenheimer Molecular Dynamics

  2021 Journal of Chemical Theory and Computation article Physics and Astronomy Advanced Chemical Physics Studies Open access

  28

  citations

8 results