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Jason Yang
Jason Yang
PhD Candidate, California Institute of Technology | Yale University
在 caltech.edu 的电子邮件经过验证
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引用次数
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年份
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
972022
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
672022
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
312021
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
222022
Opportunities and challenges for machine learning-assisted enzyme engineering
J Yang, FZ Li, FH Arnold
ACS Central Science 10 (2), 226-241, 2024
122024
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
92019
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
62023
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
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