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Zachary W. Ulissi
Zachary W. Ulissi
Associate Professor, Carnegie Mellon University
在 andrew.cmu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
5462020
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
4332018
To address surface reaction network complexity using scaling relations machine learning and DFT calculations
ZW Ulissi, AJ Medford, T Bligaard, JK Nørskov
Nature communications 8 (1), 14621, 2017
3952017
Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO2 Reduction
ZW Ulissi, MT Tang, J Xiao, X Liu, DA Torelli, M Karamad, K Cummins, ...
Acs Catalysis 7 (10), 6600-6608, 2017
3032017
Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes
J Zhang, MP Landry, PW Barone, JH Kim, S Lin, ZW Ulissi, D Lin, B Mu, ...
Nature nanotechnology 8 (12), 959-968, 2013
2662013
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
1522021
Diameter-dependent ion transport through the interior of isolated single-walled carbon nanotubes
W Choi, ZW Ulissi, SFE Shimizu, DO Bellisario, MD Ellison, MS Strano
Nature communications 4 (1), 2397, 2013
1512013
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
1202019
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
962019
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
912020
Automated discovery and construction of surface phase diagrams using machine learning
ZW Ulissi, AR Singh, C Tsai, JK Nørskov
The journal of physical chemistry letters 7 (19), 3931-3935, 2016
782016
Spatiotemporal intracellular nitric oxide signaling captured using internalized, near-infrared fluorescent carbon nanotube nanosensors
ZW Ulissi, F Sen, X Gong, S Sen, N Iverson, AA Boghossian, LC Godoy, ...
Nano letters 14 (8), 4887-4894, 2014
772014
Modelling and development of photoelectrochemical reactor for H2 production
C Carver, Z Ulissi, CK Ong, S Dennison, GH Kelsall, K Hellgardt
International Journal of Hydrogen Energy 37 (3), 2911-2923, 2012
77*2012
Effect of multiscale model uncertainty on identification of optimal catalyst properties
Z Ulissi, V Prasad, DG Vlachos
Journal of catalysis 281 (2), 339-344, 2011
522011
Practical deep-learning representation for fast heterogeneous catalyst screening
GH Gu, J Noh, S Kim, S Back, Z Ulissi, Y Jung
The journal of physical chemistry letters 11 (9), 3185-3191, 2020
512020
Quantitative theory of adsorptive separation for the electronic sorting of single-walled carbon nanotubes
RM Jain, K Tvrdy, R Han, Z Ulissi, MS Strano
ACS nano 8 (4), 3367-3379, 2014
472014
Low dimensional carbon materials for applications in mass and energy transport
QH Wang, DO Bellisario, LW Drahushuk, RM Jain, S Kruss, MP Landry, ...
Chemistry of Materials 26 (1), 172-183, 2014
472014
Observation of oscillatory surface reactions of riboflavin, trolox, and singlet oxygen using single carbon nanotube fluorescence spectroscopy
F Sen, AA Boghossian, S Sen, ZW Ulissi, J Zhang, MS Strano
ACS nano 6 (12), 10632-10645, 2012
462012
A mathematical formulation and solution of the CoPhMoRe inverse problem for helically wrapping polymer corona phases on cylindrical substrates
G Bisker, J Ahn, S Kruss, ZW Ulissi, DP Salem, MS Strano
The Journal of Physical Chemistry C 119 (24), 13876-13886, 2015
422015
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
402019
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