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Related Experiment Video

Updated: Jan 7, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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CuSe Memristor-Driven Neuromorphic Architecture: Synaptic Dynamics, Logic Reconfigurability, and Unclonable Dual-Key

Xiang Zhang1, Lin Ge1, Hao Sun1

  • 1Key Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China.

Small (Weinheim an Der Bergstrasse, Germany)
|December 31, 2025
PubMed
Summary

This study introduces a novel synaptic memristor using CuSe for advanced neuromorphic computing and information security. The device enables efficient logic operations and hardware-level encryption, overcoming traditional computing limitations.

Keywords:
CuSe memristordual‐key cryptographiclogic reconfigurabilitysynaptic dynamics

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Area of Science:

  • Materials Science
  • Computer Engineering
  • Information Security

Background:

  • Neuromorphic computing with synaptic memristors offers solutions to conventional computing limitations and information security challenges.
  • Exploring novel memristor-based circuits is crucial for tasks beyond traditional electronic devices.

Purpose of the Study:

  • To develop and characterize a CuSe-based synaptic memristor for neuromorphic applications.
  • To investigate its potential in logic circuit design and information security encryption.

Main Methods:

  • Fabrication of Ag/CuSe/ITO synaptic memristors.
  • Evaluation of synaptic behaviors, multi-level storage, and plasticity simulations (EPSC, LTP/LTD, PPF/PPD, STDP).
  • Implementation of logic operations (AND, OR, NAND, NOR) and a dual-key cryptosystem.

Main Results:

  • The CuSe memristor demonstrated a high switching ratio (>10^3), excellent durability (>10^4 s), and low power consumption (~10^-8 J).
  • Successful simulation of diverse synaptic plasticity and realization of all 16 Boolean operations using a Minimal Boolean Basis.
  • Development of a dual-key unclonable cryptosystem for hardware-level encryption/decryption.

Conclusions:

  • The CuSe synaptic memristor shows significant promise for neuromorphic computing and information security applications.
  • Integration with logic circuits opens new avenues for advanced hardware security and unconventional computing.
  • This work advances memristor-based solutions for complex computational tasks and secure data handling.