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1 Ergebnisse
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Data for Fingerprinting diverse nanoporous materials for op..:
Sun, Yangzesheng
;
DeJaco, Robert F
;
Li, Zhao
...
Sun, Yangzesheng, DeJaco, Robert F, Li, Zhao, Tang, Dai, Glante, Stephan, Sholl, David S, . . . Siepmann, J. Ilja. (2021). Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning. Science Advances, 7(30), Science advances, 2021-07-01, Vol.7 (30).. , 2021
Link:
https://hdl.handle.net/11299/220168
RT Journal T1 <Title>Data for Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivminnesdc:oai:conservancy.umn.edu:11299_220168&Exemplar=1&LAN=DE A1 Sun, Yangzesheng A1 DeJaco, Robert F A1 Li, Zhao A1 Tang, Dai A1 Glante, Stephan A1 Sholl, David S A1 Colina, Coray M A1 Snurr, Randall Q A1 Thommes, Matthias A1 Hartmann, Martin A1 Siepmann, J Ilja YR 2021 K1 Molecular simulation K1 Machine learning K1 Hydrogen storage K1 Nanoporous Materials K1 Adsorption JF Sun, Yangzesheng, DeJaco, Robert F, Li, Zhao, Tang, Dai, Glante, Stephan, Sholl, David S, . . . Siepmann, J. Ilja. (2021). Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning. Science Advances, 7(30), Science advances, 2021-07-01, Vol.7 (30). LK http://dx.doi.org/https://hdl.handle.net/11299/220168 DO https://hdl.handle.net/11299/220168 SF ELIB - SuUB Bremen
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