most citedMachine-Learned Atomic Cluster Expansion Potentials for Fast and Quantum-Accurate Thermal Simulations of Wurtzite AlN

16 citations · 16 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2023★ 16 cited

Machine-Learned Atomic Cluster Expansion Potentials for Fast and Quantum-Accurate Thermal Simulations of Wurtzite AlN

Guang Yang, Yuan-Bin Liu, Lei Yang +1

Using the atomic cluster expansion (ACE) framework, we develop a machine learning interatomic potential for fast and accurately modelling the phonon transport properties of wurtzit…