PCL-CMM integrates Biot's poroelastic theory into deep learning to compensate for skull-induced acoustic distortions, improving SSIM by more than 0.06 over purely data-driven networks in simulations and ex vivo tests.
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A Physics-Constrained Learning Framework for Wave Propagation in Complex Poroelastic Multilayered Media
PCL-CMM integrates Biot's poroelastic theory into deep learning to compensate for skull-induced acoustic distortions, improving SSIM by more than 0.06 over purely data-driven networks in simulations and ex vivo tests.