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• Published Subscription Original Research 21 Aug 2026

  Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems

  By Vijaykumar Bhanuse, Shailesh Solanki, Shilpa S. Ruikar, Anusha ATMK, Prakash Kumar Sarangi, V V N Sarath

  Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …

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