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Hybrid machine learning-based model for solubilities predic..:
Nagulapati, Vijay Mohan
;
Raza Ur Rehman, Hafiz Muhammad
;
Haider, Junaid
...
Separation and Purification Technology. 298 (2022) - p. 121651 , 2022
Link:
https://doi.org/10.1016/j.seppur.2022.121651
RT Journal T1
Hybrid machine learning-based model for solubilities prediction of various gases in deep eutectic solvent for rigorous process design of hydrogen purification
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.seppur.2022.121651&Exemplar=1&LAN=DE A1 Nagulapati, Vijay Mohan A1 Raza Ur Rehman, Hafiz Muhammad A1 Haider, Junaid A1 Abdul Qyyum, Muhammad A1 Choi, Gyu Sang A1 Lim, Hankwon PB Elsevier BV YR 2022 SN 1383-5866 JF Separation and Purification Technology VO 298 SP 121651 LK http://dx.doi.org/https://doi.org/10.1016/j.seppur.2022.121651 DO https://doi.org/10.1016/j.seppur.2022.121651 SF ELIB - SuUB Bremen
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