Learning the Path to Ion Separation: A Proof-of-Concept for Machine Learning-Assisted Inverse Design (MLAID) of Nanofiltration Membranes
- DOI
- 10.1021/acs.est.5c15241
- Published
- 2026-09-29
- Container
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.5c15241,
title = {Learning
the Path
to Ion Separation: A Proof-of-Concept
for Machine Learning-Assisted Inverse Design (MLAID) of Nanofiltration
Membranes},
author = {Nohyeong Jeong and Elif Demirel and Changyoon Jun and Yongsheng Chen},
year = {2026},
journal = {Environmental Science \&
Technology},
doi = {10.1021/acs.est.5c15241},
url = {https://doi.org/10.1021/acs.est.5c15241}
}RIS
TY - JOUR TI - Learning the Path to Ion Separation: A Proof-of-Concept for Machine Learning-Assisted Inverse Design (MLAID) of Nanofiltration Membranes AU - Nohyeong Jeong AU - Elif Demirel AU - Changyoon Jun AU - Yongsheng Chen PY - 2026 JO - Environmental Science & Technology DO - 10.1021/acs.est.5c15241 UR - https://doi.org/10.1021/acs.est.5c15241 ER -
APA
Jeong, N., Demirel, E., Jun, C., & Chen, Y. (2026). Learning the Path to Ion Separation: A Proof-of-Concept for Machine Learning-Assisted Inverse Design (MLAID) of Nanofiltration Membranes. Environmental Science & Technology. https://doi.org/10.1021/acs.est.5c15241
Source records
- crossref · retrieved 2026-11-05T05:30:08.833Z