Resistive switching and long-range filaments in metal/DMSO liquid systems for three-dimensional, multi-terminal connection schemes with on demand dynamic reconfigurability
Roshani Madurawala, Kerstin Meurisch, Louis Joswig, Anna Lina Wyschkon, Maik-Ivo Terasa, S\"oren Kaps, Alexander Vahl, Rainer Adelung

TL;DR
This paper introduces ionotronic systems with reconfigurable conductive filaments in liquid electrolytes, inspired by brain architecture, enabling dynamic 3D connectivity and plasticity for neuromorphic computing applications.
Contribution
It presents four novel ionotronic systems that demonstrate reconfigurable, hierarchical 3D wiring with resistive switching, mimicking neural plasticity and enabling brain-like neuromorphic functionalities.
Findings
Demonstrated resistive switching at micrometer and nanometer scales.
Achieved dynamic reconfiguration and dissolution of filaments.
Emulated neural plasticity through blooming and pruning mechanisms.
Abstract
The human brain, with its energy-efficient and massively parallel architecture seamlessly integrates memory and computation. Its topology and functionality serve as the inspiration for the field of neuromorphic computing. Realizing brain-like hardware requires the integration of fundamental properties such as synaptic plasticity, self-organization, hierarchical and modular structures, as well as three-dimensional connectivity. Current challenges lie in developing liquid based neuromorphic material systems with facile fabrication, three-dimensional processing, and brain-like conductivity. This work presents ionotronic systems - i.e., systems that incorporate the movement of both electrons and ions - to obtain dynamically reconfigurable conductive filaments. Our method employs an electrolyte where an anode reservoir produces ions in-situ, enabling electrode-dependent tunability and…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Advanced Sensor and Energy Harvesting Materials · Ferroelectric and Negative Capacitance Devices
