Can machine learning methods guide gas separation membranes fabrication?
Transforming a vast array of candidate materials into membranes with suitable morphologies and improved molecular separation performance is an arduous and costly endeavor for membrane scientists. With the advancement made in artificial intelligence and machine-learning in recent years, it is timely...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Journal of Membrane Science Letters |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772421222000204 |