Exploring New Azobenzene Type Photoswitches by Machine Learning with Lowest Possible Fluorescence Excitons with Ease of Synthesis.

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Title: Exploring New Azobenzene Type Photoswitches by Machine Learning with Lowest Possible Fluorescence Excitons with Ease of Synthesis.
Authors: Waheeb AS; Department of Chemistry, College of Science, AL-Muthanna, Al-Muthanna University, Samawah, Iraq.; Inorganic Chemistry Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq., Hasan DM; Department of Chemistry, College of Science, AL-Muthanna, Al-Muthanna University, Samawah, Iraq., Mallah SH; Department of Chemistry, College of Science, AL-Muthanna, Al-Muthanna University, Samawah, Iraq., Sumrra SH; Department of Chemistry, University of Gujrat, Gujrat, Punjab, 50700, Pakistan. sajjadchemist@uog.edu.pk., Noreen S; Department of Chemistry, University of Gujrat, Gujrat, Punjab, 50700, Pakistan. sadafnoreen234@gmail.com., Elnaggar AY; Department of Food Sciences and Nutrition, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia., Hassan AU; Lunen Institute of Technology, 888 Zhangtai Road, Tangzhoo, 3775995, China., El Azab IH; Department of Food Sciences and Nutrition, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia., Kyhoiesh HAK; National University of Science and Technology, 64001, Dhi Qar, Iraq., Mahmoud MHH; Department of Chemistry, College of Science, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.
Source: Journal of fluorescence [J Fluoresc] 2025 Nov; Vol. 35 (11), pp. 10701-10712. Date of Electronic Publication: 2025 May 06.
Publication Type: Journal Article
Journal Info: Publisher: Springer- Country of Publication: Netherlands NLM ID: 9201341 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-4994 (Electronic) Linking ISSN: 10530509 NLM ISO Abbreviation: J Fluoresc Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1573-4994
DOI:10.1007/s10895-025-04336-5