Publication date: 15th May 2026
Hybrid halide perovskites are opening new directions for neuromorphic and adaptive electronics because their electrical response naturally combines electronic transport, ionic motion, trapping, and interfacial polarization. Rather than viewing these processes only as sources of instability, an emerging perspective is to treat them as functional ingredients for memory, plasticity, and reconfigurable device operation.
Our recent work explores this idea across a broad family of perovskite systems, including polycrystalline and single-crystal materials [1, 2], lead-based and lead-free compounds, and electrically and optically driven device architectures. Across these platforms, a common physical picture is emerging: the interplay of traps, mobile ions, and metal/perovskite interfaces governs the evolution of conductance over multiple timescales, from fast response to slow relaxation and memory. This framework makes it possible to connect phototransport, hysteresis, threshold switching, persistent response, and synaptic-like dynamics within a unified view of perovskites as dynamically active semiconductors.
A central result of these studies is that, beyond peak performance, repeatability is a key metric for neuromorphic hardware. In our perovskite devices, repeatable conductance evolution is observed together with well-defined hysteretic behavior, threshold-activated responses, and controllable short-term memory. In particular, pulse-driven experiments reveal synaptic functionalities such as potentiation/depression, learning-forgetting-relearning behavour and tunable retention. These effects are consistently linked to the coupled action of trap states, mobile ions, and contact-induced interfacial barriers, which govern how conductance evolves under electrical or optical stimulation.
By combining material synthesis, structural and optical characterization, and device-level transport studies, hybrid perovskites emerge not only as high-performance optoelectronic materials, but also as a rich platform for light-tunable memories and neuromorphic optoelectronics.
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