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cond-mat.mtrl-sci2023
Exploring Model Complexity in Machine Learned Potentials for Simulated Properties
Andrew Rohskopf, James Goff, Dionysios Sema +5
Machine learning (ML) enables the development of interatomic potentials that promise the accuracy of first principles methods while retaining the low cost and parallel efficiency o…
cond-mat.mtrl-sci2023★ 4 cited
Correlated Terahertz phonon-ion interactions control ion conduction in a solid electrolyte
Kim H. Pham, Kiarash Gordiz, Natan A. Spear +9
Ionic conduction in solids that exceeds 1 mS/cm is predicted to involve coupled phonon-ion interactions in the crystal lattice. Here, we use theory and experiment to measure the po…