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20052023
most citedOn-the-fly machine learning force field generation: Application to melting points

688 citations · 2.2k across the 17 of their papers we have counts for

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24 papers · 1 filter

cond-mat.mtrl-sci2022

Temperature-dependent anharmonic phonons in quantum paraelectric KTaO by first principles and machine-learned force fields

Luigi Ranalli, Carla Verdi, Lorenzo Monacelli +3

Understanding collective phenomena in quantum materials from first principles is a promising route toward engineering materials properties on demand and designing new functionaliti…

cond-mat.mtrl-sci2021

Thermal transport and phase transitions of zirconia by on-the-fly machine-learned interatomic potentials

Carla Verdi, Ferenc Karsai, Peitao Liu +2

Machine-learned interatomic potentials enable realistic finite temperature calculations of complex materials properties with first-principles accuracy. It is not yet clear, however…

cond-mat.mtrl-sci2021

Optical and excitonic properties of transition metal oxide perovskites by the Bethe-Salpeter equation

Lorenzo Varrassi, Peitao Liu, Zeynep Ergönenc Yavas +3

We present a systematic investigation of the role and importance of excitonic effects on the optical properties of transitions metal oxide perovskites. A representative set of four…

cond-mat.mtrl-sci2021

Electronic state unfolding for plane waves: energy bands, Fermi surfaces and spectral functions

David Dirnberger, Georg Kresse, Cesare Franchini +1

Modern computing facilities grant access to first-principles density-functional theory study of complex physical and chemical phenomena in materials, that require large supercell t…

cond-mat.mtrl-sci2020

- phase transition of zirconium predicted by on-the-fly machine-learned force field

Peitao Liu, Carla Verdi, Ferenc Karsai +1

The accurate prediction of solid-solid structural phase transitions at finite temperature is a challenging task, since the dynamics is so slow that direct simulations of the phase…

cond-mat.mtrl-sci2020

Nonrad: Computing Nonradiative Capture Coefficients from First Principles

Mark E. Turiansky, Audrius Alkauskas, Manuel Engel +5

Point defects in semiconductor crystals provide a means for carriers to recombine nonradiatively. This recombination process impacts the performance of devices. We present the Nonr…