Data for the publication "Parameter-Efficient Fine-Tuning of Machine-Learning Interatomic Potentials for Phonon and Thermal Properties"

Documenti analoghi

• Parameter-Efficient Fine-Tuning of Machine-Learning Interatomic Potentials for Phonon and Thermal Properties
  di: Grandel, Jonas, et al.
  Pubblicazione: (2026)
• PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials
  di: Koker, Teddy, et al.
  Pubblicazione: (2026)
• Universal Machine Learning Interatomic Potentials are Ready for Phonons
  di: Loew, Antoine, et al.
  Pubblicazione: (2024)
• Fine-Tuning Unifies Foundational Machine-learned Interatomic Potential Architectures at ab initio Accuracy
  di: Hänseroth, Jonas, et al.
  Pubblicazione: (2025)
• Bias in Universal Machine-Learned Interatomic Potentials and its Effects on Fine-Tuning
  di: Wong, Nicolas, et al.
  Pubblicazione: (2026)