Machine learning enables interpretable discovery of innovative polymers for gas separation membranes J Yang, L Tao, J He, JR McCutcheon, Y Li Science Advances 8 (29), eabn9545, 2022 | 73 | 2022 |
Designing polymeric membranes with coordination chemistry for high-precision ion separations RM DuChanois, M Heiranian, J Yang, CJ Porter, Q Li, X Zhang, ... Science Advances 8 (9), eabm9436, 2022 | 57 | 2022 |
Efficient separation of small organic contaminants in water using functionalized nanoporous graphene membranes: Insights from molecular dynamics simulations J Yang, Z Shen, J He, Y Li Journal of Membrane Science 630, 119331, 2021 | 28 | 2021 |
Molecular insights into the structure-property relationships of 3D printed polyamide reverse-osmosis membrane for desalination J He, J Yang, JR McCutcheon, Y Li Journal of Membrane Science 658, 120731, 2022 | 17 | 2022 |
Shape-Dependent Interactions of Manganese Oxide Nanomaterials with Lipid Bilayer Vesicles I Zucker, SM Hashmi, J Yang, Y He, LD Pfefferle, M Elimelech Langmuir 35 (43), 13958-13966, 2019 | 8 | 2019 |
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering J Yang, J Ducharme, KE Johnston, FZ Li, Y Yue, FH Arnold ACS Synthetic Biology 12 (8), 2444–2454, 2023 | 6 | 2023 |
Opportunities and challenges for machine learning-assisted enzyme engineering J Yang, FZ Li, FH Arnold ACS Central Science, 2024 | 2 | 2024 |