most citedRevisiting thermal transport in CuCl: First-principles calculations and machine learning force fields

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2025★ 2 cited

Revisiting thermal transport in CuCl: First-principles calculations and machine learning force fields

Ashis Kundu, Florian Knoop, Igor A. Abrikosov

Accurate prediction of lattice thermal conductivity () in strongly anharmonic materials requires renormalized interatomic force constants (IFCs) and appropriate incorporation…