Predicting hydrogen storage capacity of V–Ti–Cr–Fe alloy via ensemble machine learning

Subjects

Subjects :

Fuel Technology
Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Condensed Matter Physics

Details

ISSN :

03603199

Volume :

47

Database :

OpenAIRE

Journal :

International Journal of Hydrogen Energy

Accession number :

edsair.doi...........fde7a252a7dd25aa313beb90daa150c3

Full Text :

https://doi.org/10.1016/j.ijhydene.2022.08.050