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Machine-learning models to predict hydrogen uptake of porou..:
Davoodi, Shadfar
;
Vo Thanh, Hung
;
Wood, David A.
...
Separation and Purification Technology. 316 (2023) - p. 123807 , 2023
Link:
https://doi.org/10.1016/j.seppur.2023.123807
RT Journal T1
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.seppur.2023.123807&Exemplar=1&LAN=DE A1 Davoodi, Shadfar A1 Vo Thanh, Hung A1 Wood, David A. A1 Mehrad, Mohammad A1 Al-Shargabi, Mohammed A1 Rukavishnikov, Valeriy S. PB Elsevier BV YR 2023 SN 1383-5866 JF Separation and Purification Technology VO 316 SP 123807 LK http://dx.doi.org/https://doi.org/10.1016/j.seppur.2023.123807 DO https://doi.org/10.1016/j.seppur.2023.123807 SF ELIB - SuUB Bremen
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