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Nongnuch Artrith

Showing results (1-10 of 18) with videos related to

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Journal of Computer-Aided Molecular Design|October 9, 2020
Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applicationsTobias Morawietz, Nongnuch Artrith
Nano Letters|April 19, 2014
Understanding the composition and activity of electrocatalytic nanoalloys in aqueous solvents: a combination of DFT and accurate neural network potentialsNongnuch Artrith, Alexie M Kolpak
The Journal of Chemical Physics|July 2, 2018
Constructing first-principles phase diagrams of amorphous Li<sub>x</sub>Si using machine-learning-assisted sampling with an evolutionary algorithmNongnuch Artrith, Alexander Urban, Gerbrand Ceder
The Journal of Chemical Physics|May 23, 2012
Construction of high-dimensional neural network potentials using environment-dependent atom pairsK V Jovan Jose, Nongnuch Artrith, Jörg Behler
Chemistry of Materials : a Publication of the American Chemical Society|August 15, 2022
Artificial Intelligence-Aided Mapping of the Structure-Composition-Conductivity Relationships of Glass-Ceramic Lithium Thiophosphate ElectrolytesHaoyue Guo, Qian Wang, Alexander Urban, et al.
Physical Chemistry Chemical Physics : PCCP|October 18, 2016
Reduced overpotentials for electrocatalytic water splitting over Fe- and Ni-modified BaTiO<sub>3</sub>Nongnuch Artrith, Wutthigrai Sailuam, Sukit Limpijumnong, et al.
Chemsuschem|July 29, 2015
Engineering Transition-Metal-Coated Tungsten Carbides for Efficient and Selective Electrochemical Reduction of CO2 to MethaneSippakorn Wannakao, Nongnuch Artrith, Jumras Limtrakul, et al.
Physical Review Letters|December 9, 2017
Electronic-Structure Origin of Cation Disorder in Transition-Metal OxidesAlexander Urban, Aziz Abdellahi, Stephen Dacek, et al.
The Journal of Physical Chemistry. A|January 1, 2009
Structure and dynamics of water confined in single-wall nanotubesTanin Nanok, Nongnuch Artrith, Piboon Pantu, et al.
The Journal of Chemical Physics|August 22, 2021
AENET-LAMMPS and AENET-TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentialsMichael S Chen, Tobias Morawietz, Hideki Mori, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Computer-Aided Molecular Design|October 9, 2020
Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applicationsTobias Morawietz, Nongnuch Artrith
Nano Letters|April 19, 2014
Understanding the composition and activity of electrocatalytic nanoalloys in aqueous solvents: a combination of DFT and accurate neural network potentialsNongnuch Artrith, Alexie M Kolpak
The Journal of Chemical Physics|July 2, 2018
Constructing first-principles phase diagrams of amorphous Li<sub>x</sub>Si using machine-learning-assisted sampling with an evolutionary algorithmNongnuch Artrith, Alexander Urban, Gerbrand Ceder
The Journal of Chemical Physics|May 23, 2012
Construction of high-dimensional neural network potentials using environment-dependent atom pairsK V Jovan Jose, Nongnuch Artrith, Jörg Behler
Chemistry of Materials : a Publication of the American Chemical Society|August 15, 2022
Artificial Intelligence-Aided Mapping of the Structure-Composition-Conductivity Relationships of Glass-Ceramic Lithium Thiophosphate ElectrolytesHaoyue Guo, Qian Wang, Alexander Urban, et al.
Physical Chemistry Chemical Physics : PCCP|October 18, 2016
Reduced overpotentials for electrocatalytic water splitting over Fe- and Ni-modified BaTiO<sub>3</sub>Nongnuch Artrith, Wutthigrai Sailuam, Sukit Limpijumnong, et al.
Chemsuschem|July 29, 2015
Engineering Transition-Metal-Coated Tungsten Carbides for Efficient and Selective Electrochemical Reduction of CO2 to MethaneSippakorn Wannakao, Nongnuch Artrith, Jumras Limtrakul, et al.
Physical Review Letters|December 9, 2017
Electronic-Structure Origin of Cation Disorder in Transition-Metal OxidesAlexander Urban, Aziz Abdellahi, Stephen Dacek, et al.
The Journal of Physical Chemistry. A|January 1, 2009
Structure and dynamics of water confined in single-wall nanotubesTanin Nanok, Nongnuch Artrith, Piboon Pantu, et al.
The Journal of Chemical Physics|August 22, 2021
AENET-LAMMPS and AENET-TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentialsMichael S Chen, Tobias Morawietz, Hideki Mori, et al.
Pageof 2