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eNauka >  Results >  Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning
Naziv: Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning
Autori: Batalović, Katarina  
Godina: 2022
Publikacija: 2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium
Tip rezultata: Konferencijski rad
URI: https://enauka.gov.rs/handle/123456789/774084
https://vinar.vin.bg.ac.rs/handle/123456789/11286
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