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Keywords: Physics-informed neural networks
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Journal Articles
Journal of Intelligent Manufacturing and Special Equipment 1–25.
Published: 09 July 2026
...Aswin Karkadakattil Purpose This study addresses a key limitation in physics-informed neural networks (PINNs), namely the reliance on manually selected or heuristically tuned loss weights governing the balance between data fidelity, physics residuals and boundary constraints. Improper weighting...
Includes: Supplementary data
