Diffusion in disordered media as a process with memory (original) (raw)

The paper explores the modeling of diffusion in disordered media as a process with memory, bridging the traditional random walk framework with a new approach that captures the effects of disorder without explicitly referencing specific realizations. It discusses the implications of this method for understanding complex dynamics in various non-equilibrium systems, emphasizing how the derived models automatically retrieve disorder characteristics consistent with the dynamics. The results suggest potential applications for generating disorder realizations and propose an innovative alternative to traditional optimization techniques in disordered systems.