Machine Learning in Next-Generation Polymer Composites: Recent Advances and Perspectives

2026/02/05 by Sandeep Olhan, Bindu Antil, P. Maimí · 1 voice
Engineering · Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #Mechanical Behavior of Composites #Model Reduction and Neural Networks

paper · doi:10.1007/s10443-025-10437-y

crossref issued 2026/02/05 · crossref published 2026/02/05 · crossref published-online 2026/02/05 · openalex publication_date 2026/02/05 · crossref created 2026/02/05 · openalex created_date 2026/02/07 · crossref published-print 2026/04/01 · crossref deposited 2026/04/16 · crossref indexed 2026/06/11 · openalex updated_date 2026/07/29

Citations

• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
• The perceptron: A probabilistic model for information storage and organization in the brain.
• A fuzzy K-nearest neighbor algorithm
• Gradient-based learning applied to document recognition
• Bidirectional recurrent neural networks
• Backpropagation Applied to Handwritten Zip Code Recognition
• Composite materials parts manufacturing
• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• A review on the attention mechanism of deep learning
• Physics-informed machine learning
• A flexible deep learning framework for thermographic inspection of composites

Discussions

• 🎉 New publication Dr. Sandeep Olhan has published a review in Applied Composite Materials on how machine learning is shaping next-generation polymer composites. 🔗 doi.org/10.1007/s104... #MachineL [bsky, 1 points, 0 comments]