Machine learning insights into predicting biogas separation in metal-organic frameworks. (2024)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1038/s42004-024-01166-7
PubMed Identifier: 38720065
Publication URI: http://europepmc.org/abstract/MED/38720065
Type: Journal Article/Review
Volume: 7
Parent Publication: Communications chemistry
Issue: 1
ISSN: 2399-3669