Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics

Documenti analoghi

• Insight into the effect of force error on the thermal conductivity from machine-learned potentials
  di: Zhou, Wenjiang, et al.
  Pubblicazione: (2024)
• Optimizing thermoelectric performance of graphene antidot lattices via quantum transport and machine-learning molecular dynamics simulations
  di: Xiao, Yang, et al.
  Pubblicazione: (2025)
• Phonon coherence and minimum thermal conductivity in disordered superlattice
  di: Wu, Xin, et al.
  Pubblicazione: (2024)
• Magic angle in thermal conductivity of twisted bilayer graphene
  di: Cheng, Yajuan, et al.
  Pubblicazione: (2023)
• Tuning the lattice thermal conductivity in van-der-Waals structures through rotational (dis)ordering
  di: Eriksson, Fredrik, et al.
  Pubblicazione: (2023)