This paper introduces the ΔΦ Regeneration Law, demonstrating that structural recovery arises from persistent attractor topology rather than stored templates. Building on prior work in ΔΦ-driven emergence, formation, and stability, the study shows that disruptions create local gradient imbalances that drive directed flux, restoring original structure. Simulations confirm that aligned systems regenerate after perturbation, while random systems fail to recover. The results provide a physical basis for regeneration, healing, and error correction across biological, computational, and physical systems.
Thomas S. Mitchell (2026) studied this question.