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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

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Decoding halide perovskites for neuromorphic and memristive devices.

Dimitra Das¹, Dani S Assi², Samrana Kazim^1,3

¹BCMaterials, Basque Center for Materials, Applications, and Nanostructures, UPV/EHU Science Park, 48940, Leioa, Spain. shahzada.ahmad@bcmaterials.net.

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|July 23, 2025

Summary

Neuromorphic engineering uses halide perovskites to mimic brain synapses, overcoming von Neumann architecture limitations. These materials offer efficient, brain-like computing for advanced artificial intelligence and future semiconductor technologies.

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Area of Science:

Materials Science
Neuroscience
Computer Engineering

Background:

The von Neumann architecture, while foundational, has data transfer limitations.
The human brain's neural network excels at decision-making and learning.
Neuromorphic engineering seeks brain-like computing for efficiency and speed.

Purpose of the Study:

To explore halide perovskites as synaptic emulators in neuromorphic systems.
To address the complexity of replicating biological processes in CMOS-based neuromorphic chips.
To investigate the potential of halide perovskites for advanced computing.

Main Methods:

Investigated halide perovskites for their ionic and semiconductive properties.
Analyzed the rapid resistive switching capabilities of halide perovskites.
Studied the response of halide perovskites to stimuli like light and temperature.
Explored structural variations and dimension reduction of halide perovskites.

Main Results:

Halide perovskites exhibit properties suitable for mimicking synaptic behavior.
Exceptional ion transport in halide perovskites enables rapid resistive switching.
Halide perovskites can emulate complex synaptic functions and modulate functionalities.
Structural variations and dimension reduction enhance versatility.

Conclusions:

Halide perovskites show significant promise for advancing neuromorphic computing.
These materials offer a pathway to overcome von Neumann architecture limitations.
Halide perovskites are key to developing efficient, brain-inspired computing technologies.