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Browsing by Author Radaković, Jana
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Issue Date | Title | Author(s) | Type | М-cat. |
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2016 | First principles study on electronic structure of AlH3 polymorphs | Savić, Milijana R. ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2012 | First-principles study of electric field gradients in hydrogenated C15 HfV2 Laves phase | Radaković, Jana ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2010 | First-principles study of the thermodynamic properties and electronic structure of compounds from Hf-Ni phase system | Radaković, Jana ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 22M22 |
2021 | GNN and transfer learning for prediction of formation enthalpy of metal hydrides | Batalović, Katarina ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2010 | HfNi and its hydrides - First principles calculations | Ćirić, Katarina D. ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21aM21a |
2023 | High-throughput screening of novel hydrogen storage materials – ML approach | Batalović, Katarina ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2009 | Hydridic, thermodynamic and kinetic properties of Hf2Ni intermetallic phase | Stojić, Dragica Lj.; Kumrić, Sandra V. ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21aM21a |
2015 | Hydrogen diffusion in MgH2 doped with Ti, Mn and Fe | Koteski, Vasil J. ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2013 | Hydrogen storage in Laves phases: First principles study of electronic structure and formation energies in HfV2 hydrides | Radaković, Jana ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2021 | Improvement of Hydrogen Storage Properties of MgH2 by NaNH2 addition | Medić Ilić, Mirjana ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2019 | Influence of Defects on the Stability and Hydrogen‐Sorption Behavior of Mg‐Based Hydrides | Grbović-Novaković, Jasmina ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]()
Skryabina, Nataliya; de Rango, Patricia; Fruchart, Daniel;
| Article | 21M21 |
2015 | Influence of Ta and Nb on the hydrogen absorption kinetics in Zr-based alloys | Conic, D.; Gradisek, A.; Radaković, Jana ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2014 | Interstitial hydrogen in Laves phases - local electronic structure modifications from first-principles | Radaković, Jana ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2017 | LiAlH4 DOPED WITH Fe2O3 – THE THEORETICAL AND EXPERIMENTAL STUDY | Savić, Milijana R. ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2016 | LiAlH4 DOPED WITH Fe2O3 – THE THEORETICAL AND EXPERIMENTAL STUDY | Savić, Milijana R. ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2023 | Machine learning assisted screening of materials for Li-ion batteries | Batalović, Katarina ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2023 | Machine learning exploration of the bonding in metal hydrides (✓) | Paskaš Mamula, Bojana ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2023 | Machine learning-based high-throughput screening of Mg-containing alloys for hydrogen storage and energy conversion applications | Batalović, Katarina ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2021 | Mechanochemical modification of LiAlH4 with Fe2O3 - A combined DFT and experimental study | Dragojlović, Milijana; Milanović, Igor ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2023 | Metal Hydride Conversion Anodes for Alkali-Ion Batteries – A Machine Learning Perspective | Batalović, Katarina ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |