1 publication

• Published Subscription Original Research Special issue 13 Apr 2026

  AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites

  By D Sai Ganesh, S. N. Padhi

  Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article →