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19982023
most citedAccelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution

224 citations · 654 across the 20 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

physics.chem-ph2020

Assessing Parameters for Ring Polymer Molecular Dynamics Simulations at Low Temperatures: DH+H Chemical Reaction

Ivan S. Novikov, Yury V. Suleimanov, Alexander V. Shapeev

Ring polymer molecular dynamics (RPMD) is an accurate method for calculating thermal chemical reaction rates. It has recently been discovered that low-temperature calculations are…

physics.atom-ph2020★ 1 cited

Magnetic Moment Tensor Potentials for collinear spin-polarized materials reproduce different magnetic states of bcc Fe

Ivan Novikov, Blazej Grabowski, Fritz Kormann +1

We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic potentials, accurately reproducing both vibrational and magnetic degrees of freedo…

cond-mat.mtrl-sci2020★ 224 cited

Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution

Bohayra Mortazavi, Evgeny P. Podryabinkin, Ivan S. Nvikovb +3

Accurate evaluation of the thermal conductivity of a material can be a challenging task from both experimental and theoretical points of view. In particular for the nanostructured…

physics.comp-ph2020

The MLIP package: Moment Tensor Potentials with MPI and Active Learning

Ivan S. Novikov, Konstantin Gubaev, Evgeny V. Podryabinkin +1

The subject of this paper is the technology (the "how") of constructing machine-learning interatomic potentials, rather than science (the "what" and "why") of atomistic simulations…

cond-mat.mtrl-sci2020★ 156 cited

Exploring Phononic Properties of Two-Dimensional Materials using Machine Learning Interatomic Potentials

Bohayra Mortazavi, Ivan S. Novikov, Evgeny V. Podryabinkin +4

Phononic properties are commonly studied by calculating force constants using the density functional theory (DFT) simulations. Although DFT simulations offer accurate estimations o…

hep-ph2020★ 116 cited

Parton Distribution Functions of the Charged Pion Within The xFitter Framework

Ivan Novikov, Hamed Abdolmaleki, Daniel Britzger +9

We present the first open-source analysis of parton distribution functions (PDFs) of charged pions using xFitter, an open-source QCD fit framework to facilitate PDF extraction and…