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Luminescence Thermometry with Eu3+-Doped Y2Mo3O12: Comparison of Performance of Intensity Ratio and Machine Learning Temperature Read-Outs
| Title: | Luminescence Thermometry with Eu3+-Doped Y2Mo3O12: Comparison of Performance of Intensity Ratio and Machine Learning Temperature Read-Outs | Authors: | Gavrilović, Tamara |
Issue Date: | 2024 | Publication: | Materials | ISSN: | 1996-1944 Materials Search Idenfier |
Type: | Article | Collation: | vol. 17 br. 21 str. 5354-5354 | DOI: | 10.3390/ma17215354 | WoS-ID: | 001352466100001 | Scopus-ID: | 2-s2.0-85208459525 | PMID: | 39517629 | PMCID: | PMC11547480 | URI: | https://vinar.vin.bg.ac.rs/handle/123456789/13994 https://enauka.gov.rs/handle/123456789/947719 |
Project: | REMTES - Technology for Remote Temperature Measurements in Microfluidic Devices Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča) |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |