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Updated: Oct 25, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Reconfigurable diffusive to drift switching in lead-free Cs2CuBiBr6 memristors with electro-optical synaptic
Mubashir Mushtaq Ganaie1,2, Anupam Chetia1, Kishan Kumar1
1Department of Physics, Indian Institute of Technology Jodhpur, Jodhpur 342030, India. satyajit@iitj.ac.in.
Abstract:
Lead-free halide perovskites, with their optoelectronic properties and environmental compatibility, offer a promising material platform for vision-inspired neuromorphic hardware combining sensing, memory, and computation. We report a multifunctional, lead-free Cs2CuBiBr6 memristive device that combines optical responsivity, electrical synaptic behavior, self-selective resistive switching, and voltage-controlled transitions between different switching modes in a single device. Unlike conventional ionotronic devices, which are typically either non-volatile (drift based) or abruptly volatile, these devices retain data for a finite time and then self-erase without external reset, acting as a leaky-integrator component. By tuning the applied voltage, the retention time can be varied on demand, effectively controlling whether the device behaves diffusively or more drift-like in a single architecture. A distinctive switching mechanism is observed, where halide ions migrate reversibly in both directions under an electric field, forming and dissolving transient conductive filaments, analogous to the motion of a simple pendulum. This symmetric, field-driven behavior enables three resistive switching modes, arising from time-dependent post-switching conductance decay due to ionic back-diffusion. In addition, the rectifying behaviour indicates the prospect of selector-free crossbar arrays, while optical stimulation induces synaptic-like conductance modulation. These combined features establish Cs2CuBiBr6 as both a functional and a conceptual advance toward reconfigurable, sustainable neuromorphic computing systems.
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