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Machine learning-driven spectral decomposition and pattern recognition for carbon quantum dot fluorescence sensing: From quantum confinement to multi-analyte detection

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Year: 2026
Type: article
Source: Materials Science in Semiconductor Processing
DOI: 10.1016/j.mssp.2026.111038
Authors: Biju Theruvil Sayed, Zyad Shaaban, Maharshikumar B. Shukla, Sumit Sharma, Ozodbek Nematov, Ibrokhim Sapaev, M.K. Sharma, Aseel Smerat, Ahmad khayyat, Ahmad Mohebi
Institutions: Dhofar University, University of Tabuk, Chandigarh University, Chaudhary Charan Singh University, Jizzakh State Pedagogical University, Central Asian University, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, University of Tashkent for Applied Sciences, Al-Ahliyya Amman University, Chitkara University, Islamic University of Najaf, Islamic Azad University, Tehran
Language: English

Topic: Carbon and Quantum Dots Applications
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences

Open Access status: closed
OpenAlex ID: W7172212601
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Cites: 75
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