Exploring deep learning and machine learning for novel red phosphor materials

Results

Title:	Exploring deep learning and machine learning for novel red phosphor materials
Authors:	Novita, Mega; Chauhan, Alok Singh; Ujianti, Rizky Muliani Dwi; Marlina, Dian; Kusumo, Haryo; Anwar, Muchamad Taufiq; Piasecki, Michał; Brik, Mikhail G.
Issue Date:	2024
Publication:	Journal of Luminescence
ISSN:	0022-2313 Journal of Luminescence Search Idenfier
Type:	Article
Collation:	vol. 269 str. 120476-120476
DOI:	10.1016/j.jlumin.2024.120476
WoS-ID:	001184418600001
Scopus-ID:	2-s2.0-85184523387
URI:	https://enauka.gov.rs/handle/123456789/896315 https://vinar.vin.bg.ac.rs/handle/123456789/12869
Project:	Penelitian Kompetitif Nasional skema Penelitian Kerjasama Dalam Negeri [contract No. 0536/E5/ PG.02.00/2023, decision letter No. 0536/E5/PG.02.00/2023] DRTPM and LLDIKT [No. 182/ E5/PG.02.00. PL/2023] LLDIKTI and LPPM [No. 0031/LL6/PB/AL.04/2023] LPPM and the Researchers [No. 13/161038/PG/SP2H/PB/2023_PB] National Natural Science Foundation of China [Grant Nos. 52161135110 and 12274048] Polish NCN [2021/40/Q/ST5/00336] Overseas Talents Plan of Chongqing Association for Science and Technology, China [(Grant No. 2022[60]] Estonian Research Council [grant PRG2031] National Science Centre, Poland [grant SHENG number 2021/40/Q/ST5/00336] Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča)
M-category:	21M21

11
SCOPUS^TM

9
WEB OF SCIENCE^TM

Altmetric

Dimensions

Unpaywall