Results

eNauka >  Results >  Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning
Title: Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning
Authors: Batalović, Katarina  
Issue Date: 2022
Publication: 2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium
Type: Conference Paper
URI: https://enauka.gov.rs/handle/123456789/774084
https://vinar.vin.bg.ac.rs/handle/123456789/11286
M-category: 
Mp. category will be shown later

Find the DOI

Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.