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Nongnuch Artrith, Ph.D. - Publications

Affiliations: 
2019- Chemical Engineering Columbia University, New York, NY 
 2019- Chemical Engineering Utrecht University, Utrecht, Netherlands 
Area:
Density Functional Theory, Artificial Neural Networks, Machine Learning, Materials Atomistic Simulations, ElectroCatalysis
Website:
http://ann.atomistic.net
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Chen MS, Morawietz T, Mori H, Markland TE, Artrith N. AENET-LAMMPS and AENET-TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentials. The Journal of Chemical Physics. 155: 074801. PMID 34418919 DOI: 10.1063/5.0063880  0.697
2020 Morawietz T, Artrith N. Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. Journal of Computer-Aided Molecular Design. PMID 33034008 DOI: 10.1007/s10822-020-00346-6  0.676
2020 Cooper AM, Kästner J, Urban A, Artrith N. Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide Npj Computational Materials. 6. DOI: 10.1038/S41524-020-0323-8  0.365
2020 Artrith N, Lin Z, Chen JG. Predicting the Activity and Selectivity of Bimetallic Metal Catalysts for Ethanol Reforming using Machine Learning Acs Catalysis. 10: 9438-9444. DOI: 10.1021/Acscatal.0C02089  0.459
2020 Ouyang B, Artrith N, Lun Z, Jadidi Z, Kitchaev DA, Ji H, Urban A, Ceder G. Effect of Fluorination on Lithium Transport and Short‐Range Order in Disordered‐Rocksalt‐Type Lithium‐Ion Battery Cathodes Advanced Energy Materials. 10: 1903240. DOI: 10.1002/Aenm.201903240  0.573
2019 Ji H, Urban A, Kitchaev DA, Kwon DH, Artrith N, Ophus C, Huang W, Cai Z, Shi T, Kim JC, Kim H, Ceder G. Hidden structural and chemical order controls lithium transport in cation-disordered oxides for rechargeable batteries. Nature Communications. 10: 592. PMID 30723202 DOI: 10.1038/S41467-019-08490-W  0.469
2018 Artrith N, Urban A, Ceder G. Constructing first-principles phase diagrams of amorphous LiSi using machine-learning-assisted sampling with an evolutionary algorithm. The Journal of Chemical Physics. 148: 241711. PMID 29960321 DOI: 10.1063/1.5017661  0.53
2018 Lacivita V, Artrith N, Ceder G. Structural and Compositional Factors That Control the Li-Ion Conductivity in LiPON Electrolytes Chemistry of Materials. 30: 7077-7090. DOI: 10.1021/Acs.Chemmater.8B02812  0.449
2017 Urban A, Abdellahi A, Dacek S, Artrith N, Ceder G. Electronic-Structure Origin of Cation Disorder in Transition-Metal Oxides. Physical Review Letters. 119: 176402. PMID 29219459 DOI: 10.1103/Physrevlett.119.176402  0.482
2017 Artrith N, Urban A, Ceder G. Efficient and accurate machine-learning interpolation of atomic energies in compositions with many species Physical Review B. 96. DOI: 10.1103/Physrevb.96.014112  0.529
2017 Wannakao S, Artrith N, Limtrakul J, Kolpak AM. Catalytic Activity and Product Selectivity Trends for Carbon Dioxide Electroreduction on Transition Metal-Coated Tungsten Carbides The Journal of Physical Chemistry C. 121: 20306-20314. DOI: 10.1021/Acs.Jpcc.7B05741  0.633
2016 Artrith N, Sailuam W, Limpijumnong S, Kolpak AM. Reduced overpotentials for electrocatalytic water splitting over Fe- and Ni-modified BaTiO3. Physical Chemistry Chemical Physics : Pccp. PMID 27748475 DOI: 10.1039/C6Cp06031E  0.643
2016 Elias JS, Artrith N, Bugnet M, Giordano L, Botton GA, Kolpak AM, Shao-Horn Y. Elucidating the Nature of the Active Phase in Copper/Ceria Catalysts for CO Oxidation Acs Catalysis. 6: 1675-1679. DOI: 10.1021/Acscatal.5B02666  0.646
2016 Artrith N, Urban A. An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO2 Computational Materials Science. 114: 135-150. DOI: 10.1016/J.Commatsci.2015.11.047  0.458
2015 Wannakao S, Artrith N, Limtrakul J, Kolpak AM. Engineering Transition-Metal-Coated Tungsten Carbides for Efficient and Selective Electrochemical Reduction of CO2 to Methane. Chemsuschem. 8: 2745-51. PMID 26219085 DOI: 10.1002/Cssc.201500245  0.634
2015 Artrith N, Kolpak AM. Grand canonical molecular dynamics simulations of Cu-Au nanoalloys in thermal equilibrium using reactive ANN potentials Computational Materials Science. 110: 20-28. DOI: 10.1016/J.Commatsci.2015.07.046  0.657
2014 Artrith N, Kolpak AM. 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. PMID 24742028 DOI: 10.1021/Nl5005674  0.66
2013 Artrith N, Hiller B, Behler J. Front Cover: Neural network potentials for metals and oxides - First applications to copper clusters at zinc oxide (Phys. Status Solidi B 6/2013) Physica Status Solidi (B). 250. DOI: 10.1002/Pssb.201370539  0.63
2013 Artrith N, Hiller B, Behler J. Neural network potentials for metals and oxides - First applications to copper clusters at zinc oxide Physica Status Solidi (B) Basic Research. 250: 1191-1203. DOI: 10.1002/Pssb.201248370  0.485
2012 Jose KVJ, Artrith N, Behler J. Construction of high-dimensional neural network potentials using environment-dependent atom pairs Journal of Chemical Physics. 136. PMID 22612084 DOI: 10.1063/1.4712397  0.669
2012 Artrith N, Morawietz T, Behler J. Erratum: High-dimensional neural-network potentials for multicomponent systems: Applications to zinc oxide [Phys. Rev. B83, 153101 (2011)] Physical Review B. 86. DOI: 10.1103/Physrevb.86.079914  0.725
2012 Artrith N, Behler J. High-dimensional neural network potentials for metal surfaces: A prototype study for copper Physical Review B - Condensed Matter and Materials Physics. 85. DOI: 10.1103/Physrevb.85.045439  0.669
2011 Artrith N, Morawietz T, Behler J. High-dimensional neural-network potentials for multicomponent systems: Applications to zinc oxide Physical Review B - Condensed Matter and Materials Physics. 83. DOI: 10.1103/Physrevb.83.153101  0.745
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