LS-RJF for Inverse Thermal Homogenization: Identification of Material Parameters in Fiber-Reinforced Composites
Identifying the constituent thermal conductivities of fiber-reinforced composites from macroscopic measurements is a fundamental inverse problem in materials science, with direct applications in thermal management and non-destructive characterization. We present the first neural network-based framework for inverse ther...