Machine learning-optimized graphene-integrated refractory metasurface for broadband solar energy harvesting.

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Bibliographic Details
Title: Machine learning-optimized graphene-integrated refractory metasurface for broadband solar energy harvesting.
Authors: Elsayed HA; Department of Physics, College of Science, University of Ha'il, P. O. Box 2440, Ha'il, Saudi Arabia., Solouma E; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia. emmahmoudm@imamu.edu.sa., Wekalao J; School of Engineering and Technology, National Forensic Sciences University, Gandhinagar, Gujarat, 382007, India. jacob.phdfs2303@nfsu.ac.in., Mehaney A; Photonic and Phononic Crystals Lab., Physics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512, Egypt., Messaoudi M; Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia., Rajakannu A; Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science And Technology, Muscat, Sultanate of Oman., Rabie AM; Petrochemicals Department, Egyptian Petroleum Research Institute (EPRI), Nasr City , Cairo, 11727, Egypt., Zoubi WA; Materials Electrochemistry Laboratory, School of Materials Science and Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Source: Scientific reports [Sci Rep] 2026 May 04; Vol. 16 (1). Date of Electronic Publication: 2026 May 04.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-51399-w