Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods

• Path-Dependency and Emergent Computing under Vectorial Driving

  2026 Physical Review X article Engineering Advanced Materials and Mechanics Open access

  1

  citations
• Predicting Plastic Activity in Disordered Solids via Geometric Measures

  2026 PAMM article Materials Science Material Dynamics and Properties Open access

  0

  citations
• Geometrical fingerprints of shear transformation zones in network glasses

  2025 Communications Materials article Materials Science Glass properties and applications Open access

  1

  citations
• Predicting fracture in disordered network materials using the local intelligent stress threshold indicator

  2025 Communications Physics article Materials Science Material Dynamics and Properties Open access

  3

  citations
• Mapping Shear Transformation Zones in Silica Network Glass

  2024 PAMM article Materials Science Material Dynamics and Properties Open access

  2

  citations
• Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

  2024 Journal of materials research/Pratt's guide to venture capital sources article Engineering Metallic Glasses and Amorphous Alloys Open access

  11

  citations
• Molecular Mechanics of Disordered Solids

  2023 Archives of Computational Methods in Engineering article Materials Science Microstructure and mechanical properties Open access

  25

  citations
• Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials

  2022 Physical Review Letters article Materials Science Machine Learning in Materials Science Open access

  37

  citations

8 results