Author

Aswin Karkadakattil

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Open access 2026

Physics-Guided Explainable Surrogate Framework for Topology-Aware Local Strain Prediction in Defect-Rich Additively Manufactured Materials

Predicting defect-driven strain localization in additively manufactured materials remains challenging because experimental datasets are often limited, expensive to generate, and characterized by complex defect topologies. Conventional machine learning models can provide accurate predictions but often lack physical inte...

Aswin Karkadakattil · Advances in Mechanical and M... · 0 citations

Open access Sep 2026

Physics-Informed Digital Twin for Robust Inverse Parameter Identification under Sparse and Noisy Measurements

This work provides a comprehensive reliability-oriented evaluation by integrating optimization robustness, structural identifiability, uncertainty quantification, comparative benchmarking, and multi-noise validation within a single physics-informed digital twin framework, improving the reliability and interpretability...

Aswin Karkadakattil · Research on Intelligent Manu... · 0 citations