Exploring deep learning and machine learning for novel red phosphor materials

被引：0
|
作者：
Novita, Mega [1 ]
Chauhan, Alok Singh [2 ]
Ujianti, Rizky Muliani Dwi [3 ]
Marlina, Dian [4 ]
Kusumo, Haryo [5 ]
Anwar, Muchamad Taufiq [6 ]
Piasecki, Michal [7 ]
Brik, Mikhail G. [7 ,8 ,9 ,10 ,11 ,12 ]
机构：
[1] Graduate Program of Science Education, Universitas PGRI Semarang, Jl Sidodadi Timur No. 24, Central Java, Semarang,50232, Indonesia
[2] School of Computer Applications and Technology, Galgotias University, Plot No. 2, Yamuna Expy, Sector 17A, Uttar Pradesh, Greater Noida,203201, India
[3] Department of Food Engineering, Faculty of Engineering and Informatics, Universitas PGRI Semarang, Jl Sidodadi Timur No. 24, Central Java, Semarang,50232, Indonesia
[4] Department of Pharmacy, Faculty of Engineering anad Informatics, Universitas Setia Budi, Jl. Letjen Sutoyo, Mojosongo, Kec. Jebres, Jawa Tengah, Kota Surakarta,57127, Indonesia
[5] Faculty of Vocational Studies, Universitas Sains dan Teknologi Komputer, Jl. Majapahit 605, Central Java, Semarang,50192, Indonesia
[6] Automotive Industry Information System, Politeknik STMI Jakarta, Jl. Letjen Suprapto No. 26, Central Jakarta, Jakarta,10510, Indonesia
[7] Department of Theoretical Physics, Jan Dlugosz University, Czestochowa, Poland
[8] Centre of Excellence for Photoconversion, Vinča Institute of Nuclear Sciences - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
[9] School of Optoelectronic Engineering and CQUPT-BUL Innovation Institute, Chongqing University of Posts and Telecommunications, Chongqing, China
[10] Academy of Romanian Scientists, Ilfov Str. No. 3, Bucharest, Romania
[11] Institute of Physics, University of Tartu, W. Ostwald Str. 1, Tartu, Estonia
[12] Institute of Solid State Physics, University of Latvia, Kengaraga 8, Riga,LV-1063, Latvia
来源：
Journal of Luminescence | 2024年 / 269卷
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