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Updated: Aug 22, 2025

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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
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Magnetic field-driven particle assembly and jamming for bistable memory and response plasticity
Xianhu Liu1, Hongwei Tan1, Carlo Rigoni1
1Department of Applied Physics, Aalto University, P.O. Box 15100, FI-02150 Espoo, Finland.
Science Advances
|November 11, 2022
Summary
Intelligent materials exhibit adaptive responses like living systems. Researchers demonstrated conductivity plasticity in magnetic nanoparticles, showing memory and learning-like behaviors in response to magnetic fields.
Area of Science:
- Materials Science
- Soft Matter Physics
- Nanotechnology
Background:
- Living systems exhibit dynamic response plasticity, adapting to stimuli based on history, unlike fixed synthetic materials.
- This biological plasticity is fundamental to memory and learning, inspiring the search for
- intelligent materials.
- Current synthetic materials lack the adaptive capabilities seen in biological systems.
Purpose of the Study:
- To investigate rudimentary forms of
- intelligent materials
- by exploring response plasticity in synthetic systems.
- To demonstrate adaptive electroconductivity in soft ferromagnetic nickel colloidal supraparticles.
Main Methods:
- Utilized soft ferromagnetic nickel colloidal supraparticles with spiny surfaces.
- Assembled/disassembled supraparticles into conducting micropillars between electrodes using a magnetic field (B).
- Investigated conduction hysteresis, bistable memory, and frequency-dependent conductivity changes under varying magnetic field conditions.
Main Results:
- Demonstrated plasticity of electroconductivity in the nickel colloidal supraparticles.
- Observed conduction hysteresis and bistable memory upon increasing and decreasing magnetic fields.
- Showed that abrupt magnetic field changes induced larger conductivity changes than gradual changes, and periodic pulsing led to frequency-dependent conductivity modulation.
Conclusions:
- The study presents a material with remotely controlled switching plasticity, inspired by biological learning.
- These findings pave the way for adaptive functional materials that mimic response plasticity.
- The developed material system offers a rudimentary device demonstrating adaptive switching capabilities.
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