Estimation and optimization of reinforcement parameters for composite material using a machine learning approach.

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Title: Estimation and optimization of reinforcement parameters for composite material using a machine learning approach.
Authors: Dandekar YV; Department of Mechanical Engineering, National Institute of Technology Raipur, G E Road, Raipur, 492010, Chhattisgarh, India.; Cummins College of Engineering for Women, Nagpur, India., Rajput MS; Department of Mechanical Engineering, National Institute of Technology Raipur, G E Road, Raipur, 492010, Chhattisgarh, India., Kumar RS; Department of Mechanical Engineering, National Institute of Technology Raipur, G E Road, Raipur, 492010, Chhattisgarh, India. rskumar.me@nitrr.ac.in., Pandey V; Electrical Engineering Department, Babu Banarasi Das University, Lucknow, 226028, Uttar Pradesh, India. 04.pandey@gmail.com., Shinde JR; Electronics Engineering (VLSI Design & Technology), CSMSS Chh. Shahu College of Engineering, Chhatrapati Sambhajinagar, Maharashtra, India., Paliwal S; Department of Mechatronics Engineering, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India. sankalp.paliwal@jaipur.manipal.edu.
Source: Scientific reports [Sci Rep] 2026 Feb 01; Vol. 16 (1), pp. 6862. Date of Electronic Publication: 2026 Feb 01.
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/s41598-026-37295-3