Beyond Permeability Prediction: Machine Learning for Gas-Separation Membranes from Data Curation to Experimentally Validated Discovery.
- DOI
- 10.3390/membranes16100340
- Published
- 2026 Oct 13
- Container
- Membranes
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/membranes16100340,
title = {Beyond Permeability Prediction: Machine Learning for Gas-Separation Membranes from Data Curation to Experimentally Validated Discovery.},
author = {Lin Z and Yan B and Sun X and Fu Z and Du X and Zhang J},
year = {2026},
journal = {Membranes},
doi = {10.3390/membranes16100340},
url = {https://doi.org/10.3390/membranes16100340}
}RIS
TY - JOUR TI - Beyond Permeability Prediction: Machine Learning for Gas-Separation Membranes from Data Curation to Experimentally Validated Discovery. AU - Lin Z AU - Yan B AU - Sun X AU - Fu Z AU - Du X AU - Zhang J PY - 2026 JO - Membranes DO - 10.3390/membranes16100340 UR - https://doi.org/10.3390/membranes16100340 ER -
APA
Z, L., B, Y., X, S., Z, F., X, D., & J, Z. (2026). Beyond Permeability Prediction: Machine Learning for Gas-Separation Membranes from Data Curation to Experimentally Validated Discovery.. Membranes. https://doi.org/10.3390/membranes16100340
Source records
- pubmed · retrieved 2026-11-10T09:47:36.405Z