1 publication

• 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 →