Enhanced hydrogen adsorption on boron nickel gold modified Si60 nanocluster via DFT and machine learning analysis.

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Title: Enhanced hydrogen adsorption on boron nickel gold modified Si60 nanocluster via DFT and machine learning analysis.
Authors: Ikenyirimba OJ; Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, 85721, USA. ikenyirimbajoy@arizona.edu.; Biomedical Computational Chemistry Research Group, Lagos, Nigeria. ikenyirimbajoy@arizona.edu., Mathias GE; Department of Pure and Applied Chemistry, Faculty of Physical Sciences, University of Calabar, P.M.B 1115, Calabar, Nigeria. mathiasgideon610@gmail.com.; Biomedical Computational Chemistry Research Group, Lagos, Nigeria. mathiasgideon610@gmail.com., Nwanazoba CC; Department of Chemical Engineering, Auburn University, Alabama, 36849, USA.; Department of Chemical Engineering, Faculty of Engineering, Nnamdi Azikiwe University, P.M.B 5025, Awka, Nigeria., Iloanya AC; Department of Physics, Lehigh University, Pennsylvania, USA., Anadebe VC; Centre for Materials Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa., Ebenso EE; Centre for Materials Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa.
Source: Scientific reports [Sci Rep] 2026 May 19; Vol. 16 (1). Date of Electronic Publication: 2026 May 19.
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/s41598-026-52240-0