Transformer Model and Industrial Application

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• Published Subscription Original Research 15 Oct 2026

  Predictive Modeling of Polymer Elasticity and Mechanical Strength Using Deep Learning for Functional Polymer Material Characterization and Performance Assessment

  By Gopu Vijayalaxmi, Kumaresan M, C Indirani, T. Vaishnavi, S.Gopalakrishnan, M.Krishnamurthy

  Abstract: Knowing the polymers elasticity and mechanical strength is essential in the characterization of functional polymer materials, for rapid characterization and to avoid extensive experiments. Traditional polymer characterization methods are often time consuming and resource intensive and the mechanical response of polymers can be nonlinear, thus complicating the prediction of the properties. These limitations can be overcome by introducing a Variational Temporal Fusion Transformer (VaTFT) for the deep learning prediction of …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article →