| A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction Z Jensen, E Kim, S Kwon, TZH Gani, Y Román-Leshkov, M Moliner, ... ACS central science, 2019 | 213 | 2019 |
| Inorganic materials synthesis planning with literature-trained neural networks E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ... Journal of chemical information and modeling 60 (3), 1194-1201, 2020 | 115 | 2020 |
| The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures S Mysore, Z Jensen, E Kim, K Huang, HS Chang, E Strubell, J Flanigan, ... arXiv preprint arXiv:1905.06939, 2019 | 108 | 2019 |
| A priori control of zeolite phase competition and intergrowth with high-throughput simulations D Schwalbe-Koda, S Kwon, C Paris, E Bello-Jurado, Z Jensen, E Olivetti, ... Science 374 (6565), 308-315, 2021 | 106 | 2021 |
| Discovering relationships between OSDAs and zeolites through data mining and generative neural networks Z Jensen, S Kwon, D Schwalbe-Koda, C Paris, R Gómez-Bombarelli, ... ACS central science 7 (5), 858-867, 2021 | 67 | 2021 |
| Graph similarity drives zeolite diffusionless transformations and intergrowth D Schwalbe-Koda, Z Jensen, E Olivetti, R Gómez-Bombarelli Nature materials 18 (11), 1177-1181, 2019 | 67 | 2019 |
| Text mining for processing conditions of solid-state battery electrolytes R Mahbub, K Huang, Z Jensen, ZD Hood, JLM Rupp, EA Olivetti Electrochemistry Communications 121, 106860, 2020 | 49 | 2020 |
| Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, et al E Kim, Z Jensen, A van Grootel, K Huang, M Staib Inorganic materials synthesis planning with literature-trained neural …, 2020 | 15 | 2020 |
| Interpretable machine learning enabled inorganic reaction classification and synthesis condition prediction C Karpovich, E Pan, Z Jensen, E Olivetti Chemistry of Materials 35 (3), 1062-1079, 2023 | 9 | 2023 |
| Literature mining for alternative cementitious precursors and dissolution rate modeling of glassy phases H Uvegi, Z Jensen, TN Hoang, B Traynor, T Aytaş, RT Goodwin, ... Journal of the American Ceramic Society 104 (7), 3042-3057, 2021 | 7 | 2021 |
| Inorganic synthesis reaction condition prediction with generative machine learning C Karpovich, Z Jensen, V Venugopal, E Olivetti arXiv preprint arXiv:2112.09612, 2021 | 6 | 2021 |
| Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, and Andrew McCallum. 2021. MS-mentions: Consistently annotating entity mentions in materials science procedural text T O’Gorman, Z Jensen Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 0 | 6 | |
| MS-Mentions: consistently annotating entity mentions in materials science procedural text T O’Gorman, Z Jensen, S Mysore, K Huang, R Mahbub, E Olivetti, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 5 | 2021 |
| ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-Learning Rationalization of Hydrothermal Parameters E Pan, S Kwon, Z Jensen, M Xie, R Gómez-Bombarelli, M Moliner, ... ACS Central Science 10 (3), 729-743, 2024 | | 2024 |
| A Light in the Dark: Leveraging High-Throughput Simulations to Navigate the Complex Energetic Landscape of Templating Organic Molecules Used for Zeolite Synthesis D Schwalbe-Koda, S Kwon, C Paris, E Bello-Jurado, Z Jensen, E Olivetti, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Machine Learning in Porous Materials Z Jensen, E Olivetti | | 2021 |
| Mapping structural similarity to framework interconversion in nanoporous silicates RG Bombarelli, D Schwalbe-Koda, Z Jensen, E Olivetti American Chemical Society SciMeetings 1 (1), 2020 | | 2020 |
