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1 Ergebnisse
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Machine learning approach to predict Hansen solubility para..:
Li, Chunrong
;
Li, Zongqi
;
Liu, Xinyan
..
Journal of Molecular Liquids. 408 (2024) - p. 125319 , 2024
Link:
https://doi.org/10.1016/j.molliq.2024.125319
RT Journal T1
Machine learning approach to predict Hansen solubility parameters of cocrystal coformers via integrating group contribution and COSMO-RS
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.molliq.2024.125319&Exemplar=1&LAN=DE A1 Li, Chunrong A1 Li, Zongqi A1 Liu, Xinyan A1 Xu, Jikun A1 Zhang, Chuntao PB Elsevier BV YR 2024 SN 0167-7322 JF Journal of Molecular Liquids VO 408 SP 125319 LK http://dx.doi.org/https://doi.org/10.1016/j.molliq.2024.125319 DO https://doi.org/10.1016/j.molliq.2024.125319 SF ELIB - SuUB Bremen
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