Tim Mueller
Tim Mueller
Toyota Research Institute
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Cited by
Cited by
High-performance transition metal–doped Pt3Ni octahedra for oxygen reduction reaction
X Huang, Z Zhao, L Cao, Y Chen, E Zhu, Z Lin, M Li, A Yan, A Zettl, ...
Science 348 (6240), 1230-1234, 2015
A high-throughput infrastructure for density functional theory calculations
A Jain, G Hautier, CJ Moore, SP Ong, CC Fischer, T Mueller, KA Persson, ...
Computational Materials Science 50 (8), 2295-2310, 2011
Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory
G Hautier, CC Fischer, A Jain, T Mueller, G Ceder
Chemistry of Materials 22 (12), 3762-3767, 2010
Machine learning in materials science: Recent progress and emerging applications
T Mueller, AG Kusne, R Ramprasad
Rev. Comput. Chem. 29, 2016
Machine learning for alloys
GLW Hart, T Mueller, C Toher, S Curtarolo
Nature Reviews Materials 6 (8), 730-755, 2021
Evaluation of Tavorite-Structured Cathode Materials for Lithium-Ion Batteries Using High-Throughput Computing
T Mueller, G Hautier, A Jain, G Ceder
Chemistry of Materials 23 (17), 3854-3862, 2011
Machine learning for interatomic potential models
T Mueller, A Hernandez, C Wang
The Journal of Chemical Physics 152 (5), 050902, 2020
Ensemble Effect in Bimetallic Electrocatalysts for CO2 Reduction
Y Wang, L Cao, NJ Libretto, X Li, C Li, Y Wan, C He, J Lee, J Gregg, ...
Journal of the American Chemical Society 141 (42), 16635-16642, 2019
A density functional theory study of hydrogen adsorption in MOF-5
T Mueller, G Ceder
The Journal of Physical Chemistry B 109 (38), 17974-17983, 2005
Efficient generation of generalized Monkhorst-Pack grids through the use of informatics
P Wisesa, KA McGill, T Mueller
Physical Review B 93 (15), 155109, 2016
Roles of Mo Surface Dopants in Enhancing the ORR Performance of Octahedral PtNi Nanoparticles
Q Jia, Z Zhao, L Cao, J Li, S Ghoshal, V Davies, E Stavitski, K Attenkofer, ...
Nano letters 18 (2), 798-804, 2018
Low-Overpotential Electroreduction of Carbon Monoxide Using Copper Nanowires
D Raciti, L Cao, KJT Livi, PF Rottmann, X Tang, C Li, Z Hicks, KH Bowen, ...
ACS Catalysis 2017 (7), 4467–4472, 2017
Bayesian approach to cluster expansions
T Mueller, G Ceder
Physical Review B 80 (2), 024103, 2009
Machine-learned multi-system surrogate models for materials prediction
C Nyshadham, M Rupp, B Bekker, AV Shapeev, T Mueller, ...
npj Computational Materials 5 (1), 51, 2019
Mechanistic Insights for Low-Overpotential Electroreduction of CO2 to CO on Copper Nanowires
L Cao, D Raciti, C Li, KJT Livi, PF Rottmann, KJ Hemker, T Mueller, ...
ACS Cataylsis 2017 (7), 8578–8587, 2017
Substrate-directed synthesis of MoS 2 nanocrystals with tunable dimensionality and optical properties
T Chowdhury, J Kim, EC Sadler, C Li, SW Lee, K Jo, W Xu, DH Gracias, ...
Nature nanotechnology 15 (1), 29-34, 2020
Ab initio prediction of ordered ground-state structures in ZrO 2-Y 2 O 3
A Predith, G Ceder, C Wolverton, K Persson, T Mueller
Physical Review B 77 (14), 144104, 2008
Effect of Particle Size on Hydrogen Release from Sodium Alanate Nanoparticles
T Mueller, G Ceder
ACS nano 4 (10), 5647, 2010
Differential Surface Elemental Distribution Leads to Significantly Enhanced Stability of PtNi-Based ORR Catalysts
L Cao, Z Zhao, Z Liu, W Gao, S Dai, J Gha, W Xue, H Sun, X Duan, X Pan, ...
Matter, 2019
Designing multielectron lithium-ion phosphate cathodes by mixing transition metals
G Hautier, A Jain, T Mueller, C Moore, SP Ong, G Ceder
Chemistry of Materials 25 (10), 2064-2074, 2013
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