| Separation of aromatic hydrocarbons in porous materials KB Idrees, Z Li, H Xie, KO Kirlikovali, M Kazem-Rostami, X Wang, X Wang, ... Journal of the American Chemical Society 144 (27), 12212-12218, 2022 | 58 | 2022 |
| Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning Y Sun, RF DeJaco, Z Li, D Tang, S Glante, DS Sholl, CM Colina, RQ Snurr, ... Science Advances 7 (30), eabg3983, 2021 | 54 | 2021 |
| MOFX-DB: An online database of computational adsorption data for nanoporous materials NS Bobbitt, K Shi, BJ Bucior, H Chen, N Tracy-Amoroso, Z Li, Y Sun, ... Journal of Chemical & Engineering Data 68 (2), 483-498, 2023 | 29 | 2023 |
| Machine learning using host/guest energy histograms to predict adsorption in metal–organic frameworks: Application to short alkanes and Xe/Kr mixtures Z Li, BJ Bucior, H Chen, M Haranczyk, JI Siepmann, RQ Snurr The Journal of Chemical Physics 155 (1), 2021 | 29 | 2021 |
| Engineering metal–organic frameworks for selective separation of hexane isomers using 3-dimensional linkers CS Smoljan, Z Li, H Xie, CJ Setter, KB Idrees, FA Son, F Formalik, ... Journal of the American Chemical Society 145 (11), 6434-6441, 2023 | 25 | 2023 |
| Two-dimensional energy histograms as features for machine learning to predict adsorption in diverse nanoporous materials K Shi, Z Li, DM Anstine, D Tang, CM Colina, DS Sholl, JI Siepmann, ... Journal of Chemical Theory and Computation 19 (14), 4568-4583, 2023 | 25 | 2023 |
| Computational investigation of hysteresis and phase equilibria of n-alkanes in a metal-organic framework with both micropores and mesopores Z Li, J Turner, RQ Snurr Communications Chemistry 6 (1), 90, 2023 | 3 | 2023 |
| Using Computer-Based “Experiments” in the Analysis of Chemical Reaction Equilibria Z Li, DS Corti Journal of Chemical Education 95 (5), 767-776, 2018 | 3 | 2018 |
| Installing 3-Dimensional Linkers to Fine Tune the Pore Size of Metal–Organic Frameworks for Efficient Gas Separations C Smoljan, Z Li, H Xie, C Setter, K Idrees, F Son, F Formalik, T Islamoglu, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Combining Data Science, Computer Science, and Statistical Mechanics for the Discovery of Metal-Organic Frameworks Z Li Northwestern University, 2023 | | 2023 |
| Capillary Condensation and Hysteresis in Nanoporous Materials: New Simulations and New Insights Z Li, R Snurr 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Molecular Simulation of Adsorption Hysteresis of n-Alkanes in Nanoporous Materials Z Li, R Snurr 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Two-Dimensional Energy Histograms As Features for Machine Learning to Predict Adsorption in Metal-Organic Frameworks K Shi, Z Li, R Snurr 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Machine Learning Using the Guest/Host Energy Histogram to Predict the Adsorption of Chain Molecules Z Li, B Bucior, R Snurr 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Monte Carlo simulations in the isothermal-isobaric ensemble: use of a ‘shell’particle for simulating polyatomic fluids Z Li, DS Corti Molecular Simulation 44 (17), 1461-1468, 2018 | | 2018 |
Randall SnurrNorthwestern University在 northwestern.edu 的电子邮件经过验证
