Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating (Adv. Sci. 3/2025)

Iono–Magnonic Reservoir Computing In article number 2411777, Wataru Namiki, Takashi Tsuchiya, and colleagues demonstrate an iono–magnonic reservoir computing by combining interfered spin wave multi-detection and ion-gating involving protonation-induced redox reaction. Utilizing the strong nonlinearity of the spin waves resulting from chaos, the reservoir shows good computational performance in completing the Mackey–Glass chaotic time-series prediction task, and the performance is comparable to that exhibited by simulated neural networks.