Nongnuch Artrith, Ph.D.

Affiliations: 
2019- Chemical Engineering Columbia University New York City  
Area:
Density Functional Theory, Artificial Neural Networks, Machine Learning, Materials Atomistic Simulations, ElectroCatalysis
Website:
http://ann.atomistic.net
Google:
"Nongnuch Artrith"
Mean distance: (not calculated yet)
 

Parents

Sign in to add mentor
Jörg Behler grad student
Gerbrand Ceder post-doc
Alexie M. Kolpak post-doc
Jingguang G. Chen research scientist (E-Tree)
Mark S. Hybertsen research scientist
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Ji H, Urban A, Kitchaev DA, et al. (2019) Hidden structural and chemical order controls lithium transport in cation-disordered oxides for rechargeable batteries. Nature Communications. 10: 592
Artrith N, Urban A, Ceder G. (2018) Constructing first-principles phase diagrams of amorphous LiSi using machine-learning-assisted sampling with an evolutionary algorithm. The Journal of Chemical Physics. 148: 241711
Urban A, Abdellahi A, Dacek S, et al. (2017) Electronic-Structure Origin of Cation Disorder in Transition-Metal Oxides. Physical Review Letters. 119: 176402
Artrith N, Sailuam W, Limpijumnong S, et al. (2016) Reduced overpotentials for electrocatalytic water splitting over Fe- and Ni-modified BaTiO3. Physical Chemistry Chemical Physics : Pccp
Elias JS, Artrith N, Bugnet M, et al. (2016) Elucidating the Nature of the Active Phase in Copper/Ceria Catalysts for CO Oxidation Acs Catalysis. 6: 1675-1679
Artrith N, Urban A. (2016) An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO2 Computational Materials Science. 114: 135-150
Wannakao S, Artrith N, Limtrakul J, et al. (2015) Engineering Transition-Metal-Coated Tungsten Carbides for Efficient and Selective Electrochemical Reduction of CO2 to Methane. Chemsuschem. 8: 2745-51
Artrith N, Kolpak AM. (2015) Grand canonical molecular dynamics simulations of Cu-Au nanoalloys in thermal equilibrium using reactive ANN potentials Computational Materials Science. 110: 20-28
Artrith N, Kolpak AM. (2014) Understanding the composition and activity of electrocatalytic nanoalloys in aqueous solvents: a combination of DFT and accurate neural network potentials. Nano Letters. 14: 2670-6
Artrith N, Hiller B, Behler J. (2013) Neural network potentials for metals and oxides - First applications to copper clusters at zinc oxide Physica Status Solidi (B) Basic Research. 250: 1191-1203
See more...