Reversible electrical percolation in a stretchable and self-healable silver-gradient nanocomposite bilayer

Area of Science:

• Materials Science
• Polymer Chemistry
• Nanotechnology

Background:

• Resistive switching in memory devices relies on forming and breaking conductive pathways.
• Previous attempts to create self-healing, stretchable resistive memory were hindered by filler-polymer interactions.

Purpose of the Study:

• To develop a self-healing, stretchable, and reconfigurable resistive random-access memory (RRAM).
• To overcome challenges in controlling conductive filler behavior within dynamic polymer networks for stable resistive switching.

Main Methods:

• Fabrication of a silver-gradient nanocomposite bilayer via self-assembly for a metal-insulator-metal structure.
• Utilizing dynamic hydrogen bonding for self-reconstruction of conducting fillers.
• Ensuring stronger filler-filler interactions than filler-polymer interactions to form robust percolation paths.

Main Results:

• Demonstrated stable resistive switching in a dynamically cross-linked polymer system.
• Achieved self-healing and reconfiguration capabilities in the RRAM device.
• Successfully implemented the device for cardiac signal storage, a memory triggering system, and touch sensing.

Conclusions:

• The developed nanocomposite bilayer enables stable resistive switching in self-healing and stretchable materials.
• The unique filler-polymer interaction design is key to robust percolation pathways in dynamic networks.
• This work paves the way for advanced flexible and wearable electronic memory applications.