Year |
Citation |
Score |
2021 |
Back S, Na J, Ulissi ZW. Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening Acs Catalysis. 11: 2483-2491. DOI: 10.1021/ACSCATAL.0C05494 |
0.732 |
|
2020 |
Back S, Na J, Tran K, Ulissi ZW. discovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation. Physical Chemistry Chemical Physics : Pccp. PMID 32856642 DOI: 10.1039/D0Cp03017A |
0.758 |
|
2020 |
Back S, Tran K, Ulissi ZW. Discovery of Acid-Stable Oxygen Evolution Catalysts: High-Throughput Computational Screening of Equimolar Bimetallic Oxides. Acs Applied Materials & Interfaces. PMID 32799519 DOI: 10.1021/Acsami.0C11821 |
0.754 |
|
2020 |
Zhong M, Tran K, Min Y, Wang C, Wang Z, Dinh CT, De Luna P, Yu Z, Rasouli AS, Brodersen P, Sun S, Voznyy O, Tan CS, Askerka M, Che F, ... ... Ulissi Z, et al. Accelerated discovery of CO electrocatalysts using active machine learning. Nature. 581: 178-183. PMID 32405017 DOI: 10.1038/S41586-020-2242-8 |
0.355 |
|
2020 |
Gu GH, Noh J, Kim S, Back S, Ulissi ZW, Jung Y. Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening. The Journal of Physical Chemistry Letters. PMID 32191473 DOI: 10.1021/Acs.Jpclett.0C00634 |
0.776 |
|
2020 |
Lopato EM, Eikey EA, Simon ZC, Back S, Tran K, Lewis J, Kowalewski JF, Yazdi S, Kitchin JR, Ulissi ZW, Millstone JE, Bernhard S. Parallelized Screening of Characterized and DFT-Modeled Bimetallic Colloidal Cocatalysts for Photocatalytic Hydrogen Evolution Acs Catalysis. 10: 4244-4252. DOI: 10.1021/Acscatal.9B05404 |
0.707 |
|
2019 |
Yoon J, Ulissi ZW. Capturing Structural Transitions in Surfactant Adsorption Isotherms at Solid/Solution Interfaces. Langmuir : the Acs Journal of Surfaces and Colloids. PMID 31891511 DOI: 10.1021/Acs.Langmuir.9B02235 |
0.339 |
|
2019 |
Palizhati A, Zhong W, Tran K, Back S, Ulissi ZW. Towards Predicting Intermetallics Surface Properties with High-Throughput DFT and Convolutional Neural Networks. Journal of Chemical Information and Modeling. PMID 31644279 DOI: 10.1021/Acs.Jcim.9B00550 |
0.763 |
|
2019 |
Back S, Yoon J, Tian N, Zhong W, Tran K, Ulissi ZW. Convolutional Neural Network of Atomic Surface structures to Predict Binding Energies For High-throughput Screening of Catalysts. The Journal of Physical Chemistry Letters. PMID 31310543 DOI: 10.1021/Acs.Jpclett.9B01428 |
0.77 |
|
2019 |
Back S, Tran K, Ulissi ZW. Toward a Design of Active Oxygen Evolution Catalysts: Insights from Automated Density Functional Theory Calculations and Machine Learning Acs Catalysis. 9: 7651-7659. DOI: 10.1021/Acscatal.9B02416 |
0.773 |
|
2019 |
Hanselman CL, Zhong W, Tran K, Ulissi ZW, Gounaris CE. Optimization-Based Design of Active and Stable Nanostructured Surfaces The Journal of Physical Chemistry C. 123: 29209-29218. DOI: 10.1021/Acs.Jpcc.9B08431 |
0.356 |
|
2018 |
Tran K, Palizhati A, Back S, Ulissi ZW. Dynamic Workflows for Routine Materials Discovery in Surface Science. Journal of Chemical Information and Modeling. PMID 30453739 DOI: 10.1021/Acs.Jcim.8B00386 |
0.757 |
|
2018 |
Higgins D, Wette M, Gibbons BM, Siahrostami S, Hahn C, Escudero-Escribano M, García-Melchor M, Ulissi Z, Davis RC, Mehta A, Clemens BM, Nørskov JK, Jaramillo TF. Copper Silver Thin Films with Metastable Miscibility for Oxygen Reduction Electrocatalysis in Alkaline Electrolytes Acs Applied Energy Materials. 1: 1990-1999. DOI: 10.1021/acsaem.8b00090 |
0.461 |
|
2018 |
Tang MT, Ulissi ZW, Chan K. Theoretical Investigations of Transition Metal Surface Energies under Lattice Strain and CO Environment Journal of Physical Chemistry C. 122: 14481-14487. DOI: 10.1021/Acs.Jpcc.8B02094 |
0.675 |
|
2017 |
Ulissi ZW, Medford AJ, Bligaard T, Nørskov JK. To address surface reaction network complexity using scaling relations machine learning and DFT calculations. Nature Communications. 8: 14621. PMID 28262694 DOI: 10.1038/Ncomms14621 |
0.589 |
|
2017 |
Ulissi ZW, Tang MT, Xiao J, Liu X, Torelli DA, Karamad M, Cummins K, Hahn C, Lewis NS, Jaramillo TF, Chan K, Nørskov JK. Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO2 Reduction Acs Catalysis. 7: 6600-6608. DOI: 10.1021/Acscatal.7B01648 |
0.734 |
|
2016 |
Ulissi ZW, Singh AR, Tsai C, Norskov JK. Automated Discovery and Construction of Surface Phase Diagrams using Machine Learning. The Journal of Physical Chemistry Letters. PMID 27558978 DOI: 10.1021/Acs.Jpclett.6B01254 |
0.77 |
|
2016 |
Ulissi ZW, Govind Rajan A, Strano MS. Persistently Auxetic Materials: Engineering the Poisson Ratio of 2D Self-Avoiding Membranes under Conditions of Non-Zero Anisotropic Strain. Acs Nano. PMID 27428003 DOI: 10.1021/Acsnano.6B02512 |
0.733 |
|
2015 |
Ulissi ZW, Zhang J, Sresht V, Blankschtein D, Strano MS. 2D equation-of-state model for corona phase molecular recognition on single-walled carbon nanotube and graphene surfaces. Langmuir : the Acs Journal of Surfaces and Colloids. 31: 628-36. PMID 25470315 DOI: 10.1021/La503899E |
0.531 |
|
2015 |
Bisker G, Ahn J, Kruss S, Ulissi ZW, Salem DP, Strano MS. A mathematical formulation and solution of the CoPhMoRe inverse problem for helically wrapping polymer corona phases on cylindrical substrates Journal of Physical Chemistry C. 119: 13876-13886. DOI: 10.1021/Acs.Jpcc.5B01705 |
0.488 |
|
2014 |
Ulissi ZW, Sen F, Gong X, Sen S, Iverson N, Boghossian AA, Godoy LC, Wogan GN, Mukhopadhyay D, Strano MS. Spatiotemporal intracellular nitric oxide signaling captured using internalized, near-infrared fluorescent carbon nanotube nanosensors. Nano Letters. 14: 4887-94. PMID 25029087 DOI: 10.1021/Nl502338Y |
0.456 |
|
2014 |
Jain RM, Tvrdy K, Han R, Ulissi Z, Strano MS. Quantitative theory of adsorptive separation for the electronic sorting of single-walled carbon nanotubes. Acs Nano. 8: 3367-79. PMID 24606316 DOI: 10.1021/Nn4058402 |
0.521 |
|
2014 |
Landry M, Zhang J, Barone PW, Kim JH, Lin S, Ulissi Z, Lin D, Mu B, Boghossian AA, Hilmer AJ, Rwei A, Hinckley A, Kruss S, Shandell M, Nair N, et al. Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes Sensors 2014 - Topical Conference At the 2014 Aiche Annual Meeting. 20-21. DOI: 10.1109/NEBEC.2014.6972997 |
0.586 |
|
2014 |
Bellisario DO, Jain RM, Ulissi Z, Strano MS. Deterministic modelling of carbon nanotube near-infrared solar cells Energy and Environmental Science. 7: 3769-3781. DOI: 10.1039/C4Ee01765J |
0.419 |
|
2014 |
Wang QH, Bellisario DO, Drahushuk LW, Jain RM, Kruss S, Landry MP, Mahajan SG, Shimizu SFE, Ulissi ZW, Strano MS. Low dimensional carbon materials for applications in mass and energy transport Chemistry of Materials. 26: 172-183. DOI: 10.1021/Cm402895E |
0.633 |
|
2013 |
Zhang J, Landry MP, Barone PW, Kim JH, Lin S, Ulissi ZW, Lin D, Mu B, Boghossian AA, Hilmer AJ, Rwei A, Hinckley AC, Kruss S, Shandell MA, Nair N, et al. Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes. Nature Nanotechnology. 8: 959-68. PMID 24270641 DOI: 10.1038/Nnano.2013.236 |
0.754 |
|
2013 |
Choi W, Ulissi ZW, Shimizu SF, Bellisario DO, Ellison MD, Strano MS. Diameter-dependent ion transport through the interior of isolated single-walled carbon nanotubes. Nature Communications. 4: 2397. PMID 24025921 DOI: 10.1038/Ncomms3397 |
0.477 |
|
2013 |
Paulus GL, Wang QH, Ulissi ZW, McNicholas TP, Vijayaraghavan A, Shih CJ, Jin Z, Strano MS. Charge transfer at junctions of a single layer of graphene and a metallic single walled carbon nanotube. Small (Weinheim An Der Bergstrasse, Germany). 9: 1954-63. PMID 23281165 DOI: 10.1002/Smll.201201034 |
0.652 |
|
2013 |
Bellisario DO, Ulissi Z, Strano MS. A quantitative and predictive model of electromigration-induced breakdown of metal nanowires Journal of Physical Chemistry C. 117: 12373-12378. DOI: 10.1021/Jp4035776 |
0.486 |
|
2013 |
Shimizu S, Ellison M, Aziz K, Wang QH, Ulissi Z, Gunther Z, Bellisario D, Strano M. Stochastic pore blocking and gating in PDMS-glass nanopores from vapor-liquid phase transitions Journal of Physical Chemistry C. 117: 9641-9651. DOI: 10.1021/Jp312659M |
0.489 |
|
2013 |
Ulissi ZW, Strano MS, Braatz RD. Control of nano and microchemical systems Computers and Chemical Engineering. 51: 149-156. DOI: 10.1016/J.Compchemeng.2012.07.004 |
0.613 |
|
2012 |
Sen F, Boghossian AA, Sen S, Ulissi ZW, Zhang J, Strano MS. Observation of oscillatory surface reactions of riboflavin, trolox, and singlet oxygen using single carbon nanotube fluorescence spectroscopy. Acs Nano. 6: 10632-45. PMID 23075271 DOI: 10.1021/Nn303716N |
0.511 |
|
2012 |
Carver C, Ulissi Z, Ong CK, Dennison S, Kelsall GH, Hellgardt K. Modelling and development of photoelectrochemical reactor for H2 production International Journal of Hydrogen Energy. 37: 2911-2923. DOI: 10.1016/J.Ijhydene.2011.07.012 |
0.314 |
|
2012 |
Ulissi ZW, Molaro MC, Strano MS, Braatz RD. Systems nanotechnology: Identification, estimation, and control of nanoscale systems Proceedings of the American Control Conference. 1-7. |
0.504 |
|
2011 |
Boghossian AA, Zhang J, Le Floch-Yin FT, Ulissi ZW, Bojo P, Han JH, Kim JH, Arkalgud JR, Reuel NF, Braatz RD, Strano MS. The chemical dynamics of nanosensors capable of single-molecule detection. The Journal of Chemical Physics. 135: 084124. PMID 21895176 DOI: 10.1063/1.3606496 |
0.615 |
|
2011 |
Ulissi ZW, Shimizu S, Lee CY, Strano MS. Carbon nanotubes as molecular conduits: Advances and challenges for transport through isolated sub-2 nm pores Journal of Physical Chemistry Letters. 2: 2892-2896. DOI: 10.1021/Jz201136C |
0.483 |
|
2011 |
Ulissi ZW, Zhang J, Boghossian AA, Reuel NF, Shimizu SFE, Braatz RD, Strano MS. Applicability of birth-death markov modeling for single-molecule counting using single-walled carbon nanotube fluorescent sensor arrays Journal of Physical Chemistry Letters. 2: 1690-1694. DOI: 10.1021/Jz200572B |
0.595 |
|
2011 |
Ulissi Z, Prasad V, Vlachos DG. Effect of multiscale model uncertainty on identification of optimal catalyst properties Journal of Catalysis. 281: 339-344. DOI: 10.1016/J.Jcat.2011.05.019 |
0.388 |
|
2010 |
Prasad V, Karim AM, Ulissi Z, Zagrobelny M, Vlachos DG. High throughput multiscale modeling for design of experiments, catalysts, and reactors: Application to hydrogen production from ammonia Chemical Engineering Science. 65: 240-246. DOI: 10.1016/J.Ces.2009.05.054 |
0.365 |
|
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