Publication date: 24th July 2026
Inspired by memristive concepts, magneto-ionics offers a powerful route to control magnetic properties via ionic motion, particularly at ferromagnet/oxide interfaces. This capability creates new opportunities for spintronic devices with reconfigurable, multistate, and cumulative gating functionalities, while also providing a promising platform for neuromorphic hardware that combines non-volatile binary magnetic states with the analogue tunability of ionic systems.
I will discuss strategies for implementing synaptic functionalities through magneto-ionic control of magnetic anisotropy in CoFeB-based devices. These nanodevices can encode multiple non-volatile, electrically readable states and support advanced bioinspired behavior. In particular, we show that synaptic potentiation and depression can be tuned by an applied magnetic field, enabling dynamic control over the linearity of weight updates. This effect resembles neuromodulation in biological systems, and neural network simulations indicate that improved update linearity enhances learning accuracy across a broad range of learning rates.
I will also present approaches based on volatile ionic effects in spintronic devices. Here, gate-induced transient changes in magnetic anisotropy are used to control the switching probability of a spin-orbit-torque-driven magnetic memory element. While the magnetic state remains binary and non-volatile, the magneto-ionic gating state is volatile, allowing the device to separate long-term information storage from short-term update eligibility. This separation is particularly relevant for reward-based learning schemes and highlights the broader potential of magneto-ionics for neuromorphic spintronics.
