| Analysis of the limitations in the oxygen reduction activity of transition metal oxide surfaces H Li, S Kelly, D Guevarra, Z Wang, Y Wang, JA Haber, M Anand, ... Nature Catalysis 4 (6), 463-468, 2021 | 172 | 2021 |
| Benchmarking the acceleration of materials discovery by sequential learning B Rohr, HS Stein, D Guevarra, Y Wang, JA Haber, M Aykol, SK Suram, ... Chemical science 11 (10), 2696-2706, 2020 | 120 | 2020 |
| Machine learning of optical properties of materials–predicting spectra from images and images from spectra HS Stein, D Guevarra, PF Newhouse, E Soedarmadji, JM Gregoire Chemical science 10 (1), 47-55, 2019 | 108 | 2019 |
| High Throughput Discovery of Solar Fuels Photoanodes in the CuO–V2O5 System L Zhou, Q Yan, A Shinde, D Guevarra, PF Newhouse, ... Advanced Energy Materials 5 (22), 1500968, 2015 | 101 | 2015 |
| High-throughput bubble screening method for combinatorial discovery of electrocatalysts for water splitting C Xiang, SK Suram, JA Haber, DW Guevarra, E Soedarmadji, J Jin, ... ACS combinatorial science 16 (2), 47-52, 2014 | 93 | 2014 |
| Reduction of Aqueous CO2 to 1-Propanol at MoS2 Electrodes SA Francis, JM Velazquez, IM Ferrer, DA Torelli, D Guevarra, ... Chemistry of Materials 30 (15), 4902-4908, 2018 | 90 | 2018 |
| High‐Throughput Mapping of the Electrochemical Properties of (Ni‐Fe‐Co‐Ce)Ox Oxygen‐Evolution Catalysts JA Haber, C Xiang, D Guevarra, S Jung, J Jin, JM Gregoire ChemElectroChem 1 (3), 524-528, 2014 | 86 | 2014 |
| Analyzing machine learning models to accelerate generation of fundamental materials insights M Umehara, HS Stein, D Guevarra, PF Newhouse, DA Boyd, JM Gregoire npj Computational Materials 5 (1), 34, 2019 | 74 | 2019 |
| Solar fuel photoanodes prepared by inkjet printing of copper vanadates PF Newhouse, DA Boyd, A Shinde, D Guevarra, L Zhou, E Soedarmadji, ... Journal of materials chemistry A 4 (19), 7483-7494, 2016 | 72 | 2016 |
| Development of solar fuels photoanodes through combinatorial integration of Ni–La–Co–Ce oxide catalysts on BiVO 4 D Guevarra, A Shinde, SK Suram, ID Sharp, FM Toma, JA Haber, ... Energy & Environmental Science 9 (2), 565-580, 2016 | 72 | 2016 |
| Stability and self-passivation of copper vanadate photoanodes under chemical, electrochemical, and photoelectrochemical operation L Zhou, Q Yan, J Yu, RJR Jones, N Becerra-Stasiewicz, SK Suram, ... Physical Chemistry Chemical Physics 18 (14), 9349-9352, 2016 | 65 | 2016 |
| High-Throughput Screening for Acid-Stable Oxygen Evolution Electrocatalysts in the (Mn–Co–Ta–Sb)O x Composition Space A Shinde, RJR Jones, D Guevarra, S Mitrovic, N Becerra-Stasiewicz, ... Electrocatalysis 6, 229-236, 2015 | 65 | 2015 |
| Automating crystal-structure phase mapping by combining deep learning with constraint reasoning D Chen, Y Bai, S Ament, W Zhao, D Guevarra, L Zhou, B Selman, ... Nature Machine Intelligence 3 (9), 812-822, 2021 | 52 | 2021 |
| Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams S Ament, M Amsler, DR Sutherland, MC Chang, D Guevarra, AB Connolly, ... Science Advances 7 (51), eabg4930, 2021 | 49 | 2021 |
| Oxygen evolution reaction catalysis JA Haber, J Jin, C Xiang, JM Gregoire, RJ Jones, DW Guevarra, ... US Patent 9,435,043, 2016 | 48 | 2016 |
| Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings S Kong, F Ricci, D Guevarra, JB Neaton, CP Gomes, JM Gregoire Nature communications 13 (1), 949, 2022 | 44 | 2022 |
| Tracking materials science data lineage to manage millions of materials experiments and analyses E Soedarmadji, HS Stein, SK Suram, D Guevarra, JM Gregoire npj Computational Materials 5 (1), 79, 2019 | 44 | 2019 |
| Enabling modular autonomous feedback‐loops in materials science through hierarchical experimental laboratory automation and orchestration F Rahmanian, J Flowers, D Guevarra, M Richter, M Fichtner, P Donnely, ... Advanced Materials Interfaces 9 (8), 2101987, 2022 | 42 | 2022 |
| Discovery of Fe–Ce Oxide/BiVO4 Photoanodes through Combinatorial Exploration of Ni–Fe–Co–Ce Oxide Coatings A Shinde, D Guevarra, G Liu, ID Sharp, FM Toma, JM Gregoire, JA Haber ACS applied materials & interfaces 8 (36), 23696-23705, 2016 | 42 | 2016 |
| Materials representation and transfer learning for multi-property prediction S Kong, D Guevarra, CP Gomes, JM Gregoire Applied Physics Reviews 8 (2), 2021 | 40 | 2021 |
