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Kevin Tran
Kevin Tran
Toyota Research Institute
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Title
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Cited by
Year
Accelerated discovery of CO2 electrocatalysts using active machine learning
M Zhong, K Tran, Y Min, C Wang, Z Wang, CT Dinh, P De Luna, Z Yu, ...
Nature 581 (7807), 178-183, 2020
10992020
Active learning across intermetallics to guide discovery of electrocatalysts for CO2 reduction and H2 evolution
K Tran, ZW Ulissi
Nature Catalysis 1 (9), 696-703, 2018
7142018
Open catalyst 2020 (OC20) dataset and community challenges
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
ACS Catalysis 11 (10), 6059-6072, 2021
5272021
Convolutional neural network of atomic surface structures to predict binding energies for high-throughput screening of catalysts
S Back, J Yoon, N Tian, W Zhong, K Tran, ZW Ulissi
The journal of physical chemistry letters 10 (15), 4401-4408, 2019
2152019
Methods for comparing uncertainty quantifications for material property predictions
K Tran, W Neiswanger, J Yoon, Q Zhang, E Xing, ZW Ulissi
Machine Learning: Science and Technology 1 (2), 025006, 2020
2062020
Toward a design of active oxygen evolution catalysts: insights from automated density functional theory calculations and machine learning
S Back, K Tran, ZW Ulissi
Acs Catalysis 9 (9), 7651-7659, 2019
1602019
An introduction to electrocatalyst design using machine learning for renewable energy storage
CL Zitnick, L Chanussot, A Das, S Goyal, J Heras-Domingo, C Ho, W Hu, ...
arXiv preprint arXiv:2010.09435, 2020
882020
Toward predicting intermetallics surface properties with high-throughput DFT and convolutional neural networks
A Palizhati, W Zhong, K Tran, S Back, ZW Ulissi
Journal of chemical information and modeling 59 (11), 4742-4749, 2019
642019
Discovery of acid-stable oxygen evolution catalysts: high-throughput computational screening of equimolar bimetallic oxides
S Back, K Tran, ZW Ulissi
ACS applied materials & interfaces 12 (34), 38256-38265, 2020
632020
Dynamic workflows for routine materials discovery in surface science
K Tran, A Palizhati, S Back, ZW Ulissi
Journal of chemical information and modeling 58 (12), 2392-2400, 2018
522018
Parallelized screening of characterized and DFT-modeled bimetallic colloidal cocatalysts for photocatalytic hydrogen evolution
EM Lopato, EA Eikey, ZC Simon, S Back, K Tran, J Lewis, JF Kowalewski, ...
ACS Catalysis 10 (7), 4244-4252, 2020
472020
Controllability analysis of protein glycosylation in CHO cells
MM St. Amand, K Tran, D Radhakrishnan, AS Robinson, BA Ogunnaike
PloS one 9 (2), e87973, 2014
472014
Computational catalyst discovery: Active classification through myopic multiscale sampling
K Tran, W Neiswanger, K Broderick, E Xing, J Schneider, ZW Ulissi
The Journal of Chemical Physics 154 (12), 2021
152021
In silico discovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation
S Back, J Na, K Tran, ZW Ulissi
Physical Chemistry Chemical Physics 22 (35), 19454-19458, 2020
152020
Optimization-based design of active and stable nanostructured surfaces
CL Hanselman, W Zhong, K Tran, ZW Ulissi, CE Gounaris
The Journal of Physical Chemistry C 123 (48), 29209-29218, 2019
142019
Correction to “The Open Catalyst 2020 (OC20) Dataset and Community Challenges”
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
ACS Catalysis 11 (21), 13062-13065, 2021
92021
Correction to “The Open Catalyst 2020 (OC20) Dataset and Community Challenges”
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
ACS Catalysis 11 (21), 13062-13065, 2021
92021
The open catalyst 2020 (oc20) dataset and community challenges (vol 11, pg 6059, 2021)
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
ACS CATALYSIS 11 (21), 13062-13065, 2021
3*2021
Advancing Insights into Electrochemical Pre‐Treatments of Supported Nanoparticle Electrocatalysts by Combining a Design of Experiments Strategy with In Situ Characterization
AS Mule, K Tran, AM Aleman, YE Cornejo‐Carrillo, GA Kamat, ...
Advanced Energy Materials 14 (41), 2401939, 2024
12024
Predicting Intermetallic Surface Energies with High-Throughput DFT and Convolutional Neural Networks
A Palizhati, W Zhong, K Tran, Z Ulissi
12019
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Articles 1–20