A Pre-trained Deep Potential Model for Sulfide Solid Electrolytes with Broad Coverage and High Accuracy

Documenti analoghi

• Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design
  di: Zeng, Boshen, et al.
  Pubblicazione: (2024)
• Scaling Machine Learning Interatomic Potentials with Mixtures of Experts
  di: Liu, Yuzhi, et al.
  Pubblicazione: (2026)
• DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution
  di: Li, Tiancheng, et al.
  Pubblicazione: (2026)
• Geometry-enhanced Pre-training on Interatomic Potentials
  di: Cui, Taoyong, et al.
  Pubblicazione: (2023)
• Pre-training, fine-tuning, and distillation (PFD): Automatically generating machine learning force fields from universal models
  di: Wang, Ruoyu, et al.
  Pubblicazione: (2025)