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Machine learning-based predictions of the 4fn-4fn-15d1 UV absorption for Pr3+ and Ce3+ ions in fluoride and oxide compounds
| Title: | Machine learning-based predictions of the 4fn-4fn-15d1 UV absorption for Pr3+ and Ce3+ ions in fluoride and oxide compounds | Authors: | Dima, George; Racu, Andrei; Ma, C.G.; Srivastava, A.M.; Antić, Željka   ; Dramićanin, Miroslav ; Brik, Mikhail G. |
Issue Date: | 2025 | Publication: | Journal of Luminescence | ISSN: | 0022-2313 Journal of Luminescence Search Idenfier |
Type: | Article | Collation: | vol. 286 str. 121359-121359 | DOI: | 10.1016/j.jlumin.2025.121359 | WoS-ID: | 001512749700001 | Scopus-ID: | 2-s2.0-105007890321 | URI: | https://vinar.vin.bg.ac.rs/handle/123456789/15008 https://enauka.gov.rs/handle/123456789/986385 |
Project: | Romania’s National Recovery and Resilience Plan, NRRP (PNRR) - [Project C9-I8-C28, Contract 760107/2023] | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
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