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 | 97 | 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 | 67 | 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 | 31 | 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 | 22 | 2022 |
Opportunities and challenges for machine learning-assisted enzyme engineering J Yang, FZ Li, FH Arnold ACS Central Science 10 (2), 226-241, 2024 | 12 | 2024 |
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 | 9 | 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 |
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes J Yang, A Mora, S Liu, BJ Wittmann, A Anandkumar, FH Arnold, Y Yue arXiv preprint arXiv:2406.15669, 2024 | | 2024 |
A combinatorially complete epistatic fitness landscape in an enzyme active site KE Johnston, PJ Almhjell, EJ Watkins-Dulaney, G Liu, NJ Porter, J Yang, ... bioRxiv, 2024.06. 23.600144, 2024 | | 2024 |