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What is Physics-Informed Neural Networks for Diffusion Coefficients about?

This document presents a new numerical inverse method using physics-informed neural networks (PINN) for estimating diffusion coefficients in pseudo-binary diffusion couples, overcoming limitations of previous methods that relied on diffusion profiles in lower-order systems. The proposed method integrates experimentally estimated interdiffusion and intrinsic diffusion coefficients as design targets, demonstrating the importance of accurate intrinsic diffusivities for reliable mobility databases. The methodol

Author

esakkibabu1987

Language

EN