Prediction of phase equilibria of HIx system using artificial neural network: Experimental verification
- Author
- MANDAL, Subhasis1 ; JANA, Amiya K1
[1] Energy and Process Engineering Laboratory, Department of Chemical Engineering, Indian Institute of Technology, Kharagpur 721 302, India - Source
International journal of hydrogen energy. 2013, Vol 38, Num 3, pp 1244-1250, 7 p ; ref : 32 ref
- CODEN
- IJHEDX
- ISSN
- 0360-3199
- Scientific domain
- General chemistry, physical chemistry; Energy
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural network Binary and ternary mixtures HIx system Phase equilibrium
- Keyword (fr)
- Cycle thermodynamique Eau Iode Hydrure Iode Mélange binaire Mélange ternaire Production hydrogène Réseau neuronal
- Keyword (en)
- Thermodynamic cycle Water Iodine Hydrides Iodine Binary mixture Ternary mixture Hydrogen production Neural network
- Keyword (es)
- Ciclo termodinámico Agua Iodo Hidruro Iodo Mezcla binaria Mezcla ternaria Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B06 Alternative fuels. Production and utilization
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 26849767
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ijhydene.2012.11.067 
https://dx.doi.org/10.1016/j.ijhydene.2012.11.067
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