| Representations of Materials for Machine Learning J Damewood, J Karaguesian, JR Lunger, AR Tan, M Xie, J Peng, ... Annual Review of Materials Research 53, 2023 | 23 | 2023 |
| Accelerating Students’ Learning of Chromatography with an Experiential Module on Process Development and Scaleup M Xie, P Inguva, W Chen, N Prasetya, A Macey, P DiMaggio, U Shah, ... Journal of Chemical Education 97 (4), 1001-1007, 2020 | 17 | 2020 |
| Approaching enzymatic catalysis with zeolites or how to select one reaction mechanism competing with others P Ferri, C Li, D Schwalbe-Koda, M Xie, M Moliner, R Gómez-Bombarelli, ... Nature Communications 14 (1), 2878, 2023 | 6 | 2023 |
| Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties M Xie, N Prasetya, BP Ladewig Inorganic Chemistry Communications 108, 107512, 2019 | 5 | 2019 |
| 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, 2024 | | 2024 |
| Thermodynamics of Al Substitution in CHA with and without Organic Structure-Directing Agents A Hoffman, M Xie, C Paris, M Moliner, R Gomez-Bombarelli 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Knowledge Laboratories: Approach to Facilitate Independent Inquiry and Experiential Learning for 2nd Year Students P Inguva, M Xie, UV Shah, C Brechtelsbauer 2019 AIChE Annual Meeting, 2019 | | 2019 |
