| 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 | 1779 | 2015 |
| Ensemble Effect in Bimetallic Electrocatalysts for CO2 Reduction Y Wang, L Cao (equal contribution), NJ Libretto, X Li, C Li, Y Wang, C He, ... Journal of the American Chemical Society 141 (42), 16635–16642, 2019 | 265 | 2019 |
| Roles of Mo Surface Dopants in Enhancing the ORR Performance of Octahedral PtNi Nanoparticles Q Jia, Z Zhao, L Cao (equal contribution), J Li, S Ghoshal, V Davies, ... Nano Letters 18 (2), 798–804, 2017 | 184 | 2017 |
| Low-Overpotential Electroreduction of Carbon Monoxide Using Copper Nanowires D Raciti, L Cao (equal contribution), KJT Livi, PF Rottmann, X Tang, C Li, ... ACS Catalysis 7 (7), 4467-4472, 2017 | 150 | 2017 |
| 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 Catalysis 7 (12), 8578–8587, 2017 | 116 | 2017 |
| 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 1 (6), 1567-1580, 2019 | 92 | 2019 |
| Theoretical Insights into the Effects of Oxidation and Mo-Doping on the Structure and Stability of Pt-Ni Nanoparticles L Cao, T Mueller Nano Letters 16 (12), 7748–7754, 2016 | 70 | 2016 |
| The Use of Cluster Expansions To Predict the Structures and Properties of Surfaces and Nanostructured Materials L Cao, C Li, T Mueller Journal of Chemical Information and Modeling 58 (12), 2401–2413, 2018 | 57 | 2018 |
| Undercoordinated Active Sites on 4H Gold Nanostructures for CO2 Reduction Y Wang, C Li, Z Fan, Y Chen, X Li, L Cao, C Wang, L Wang, D Su, ... Nano Letters 20 (11), 8074−8080, 2020 | 51 | 2020 |
| Tuning magnetic property and autophagic response for self‐assembled Ni–Co alloy nanocrystals L Dong, Y Liu, Y Lu, L Zhang, N Man, L Cao, K Ma, D An, J Lin, YJ Xu, ... Advanced Functional Materials 23 (47), 5930-5940, 2013 | 50 | 2013 |
| Rational Design of Pt3Ni Surface Structures for the Oxygen Reduction Reaction L Cao, T Mueller The Journal of Physical Chemistry C 119 (31), 17735–17747, 2015 | 49 | 2015 |
| Asymmetrical C–C Coupling for Electroreduction of CO on Bimetallic Cu–Pd Catalysts H Shen, Y Wang, T Chakraborty, G Zhou, C Wang, X Fu, Y Wang, J Zhang, ... ACS Catalysis 12, 5275-5283, 2022 | 41 | 2022 |
| Improved prediction of nanoalloy structures by the explicit inclusion of adsorbates in cluster expansions C Li, D Raciti, T Pu, L Cao, C He, C Wang, T Mueller The Journal of Physical Chemistry C 122 (31), 18040-18047, 2018 | 27 | 2018 |
| Computationally Generated Maps of Surface Structures and Catalytic Activities for Alloy Phase Diagrams L Cao, L Niu, T Mueller Proceedings of the National Academy of Sciences 116 (44), 22044-22051, 2019 | 17 | 2019 |
| Predicting activation energies for vacancy-mediated diffusion in alloys using a transition-state cluster expansion C Li, T Nilson, L Cao, T Mueller Physical Review Materials 5 (1), 013803, 2021 | 15 | 2021 |
| Catalytic Activity Maps for Alloy Nanoparticles L Cao, T Mueller Journal of the American Chemical Society 145 (13), 7352–7360, 2023 | 10 | 2023 |
| Recent advances in the application of machine-learning algorithms to predict adsorption energies L Cao Trends in Chemistry 4 (4), 99-114, 2022 | 5 | 2022 |
| A surface strategy boosting the ethylene selectivity for CO2 reduction and in situ mechanistic insights Y Yao, T Shi, W Chen, J Wu, Y Fan, Y Liu, L Cao, Z Chen Nature Communications 15 (1), 1257, 2024 | | 2024 |
| Fine-structure sensitive deep learning framework for prediction of catalytic properties with high precision Y Chen, H Wang, B Lu, N Yi, L Cao, Y Wang, S Mao Chin. J. Catal. 50, 284-296, 2023 | | 2023 |
| Size-Composition Catalytic Activity Maps for Alloy Nanoparticles L Cao, T Mueller 2021 Virtual MRS Spring Meeting, 2021 | | 2021 |
Tim MuellerToyota Research InstituteVerified email at tri.global
