Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials

Documenti analoghi

• Evaluating Universal Machine Learning Force Fields Against Experimental Measurements
  di: Mannan, Sajid, et al.
  Pubblicazione: (2025)
• Are LLMs Ready for Real-World Materials Discovery?
  di: Miret, Santiago, et al.
  Pubblicazione: (2024)
• Deconstructing equivariant representations in molecular systems
  di: Lee, Kin Long Kelvin, et al.
  Pubblicazione: (2024)
• Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning
  di: Sajid Mannan, et al.
  Pubblicazione: (2024)
• Natural Language Embeddings of Synthesis and Testing conditions Enhance Glass Dissolution Prediction
  di: Mannan, Sajid, et al.
  Pubblicazione: (2026)