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Modeling thermal conductivity of hydrogen-based binary gase..:
Naghizadeh, Arefeh
;
Amiri-Ramsheh, Behnam
;
Atashrouz, Saeid
...
International Journal of Hydrogen Energy. 59 (2024) - p. 242-250 , 2024
Link:
https://doi.org/10.1016/j.ijhydene.2024.01.216
RT Journal T1
Modeling thermal conductivity of hydrogen-based binary gaseous mixtures using generalized regression neural network
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijhydene.2024.01.216&Exemplar=1&LAN=DE A1 Naghizadeh, Arefeh A1 Amiri-Ramsheh, Behnam A1 Atashrouz, Saeid A1 Abuswer, Meftah Ali A1 Abedi, Ali A1 Mohaddespour, Ahmad A1 Hemmati-Sarapardeh, Abdolhossein PB Elsevier BV YR 2024 SN 0360-3199 JF International Journal of Hydrogen Energy VO 59 SP 242 OP 250 LK http://dx.doi.org/https://doi.org/10.1016/j.ijhydene.2024.01.216 DO https://doi.org/10.1016/j.ijhydene.2024.01.216 SF ELIB - SuUB Bremen
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