2 publications

• Published Subscription Original Research 31 Aug 2026

  Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning

  By A. Muthukrishnan, M. Daniel Nareshkumar, A. Sakthivel, S. Sivasankaran, Talluri Upender, M. Bharathi, S. Murugesan

  Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →

• Published Subscription Original Research 26 Aug 2026

  Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives

  By V. Parimala, K. Sudhakar, S. Bhuvana, Praveen Talari, D. Ruban Thomas, S. Sivasankaran, S. Palpandi

  Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →