A Mechanical–Electrical Model to Describe the Negative Differential Resistance in Membranotronic Devices

Author:

Huber Max123ORCID,Schuster Jörg123ORCID,Schmidt Oliver G.145ORCID,Kuhn Harald3ORCID,Karnaushenko Daniil1ORCID

Affiliation:

1. Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN) Chemnitz University of Technology 09126 Chemnitz Germany

2. Center for Microtechnologies Chemnitz University of Technology 09126 Chemnitz Germany

3. Fraunhofer Institute for Electronic Nano Systems ENAS 09126 Chemnitz Germany

4. Material Systems for Nanoelectronics Chemnitz University of Technology 09107 Chemnitz Germany

5. Nanophysics Faculty of Physics TU Dresden 01062 Dresden Germany

Abstract

Membranotronic devices are artificial neural membranes mimicing the functionality of biological neural networks. These devices rely on the emergence of negative differential resistance (NDR). A minimalistic physical model for membranotronic devices capable of generating NDR is presented. The model features a deformable membrane with holes that facilitate ion currents. The deformation of the membrane, induced by electrostatic pressure from an applied voltage, modulates these currents. The model comprises a well‐established mechanical framework for describing deformable membranes with holes, alongside a model for ionic current that considers temperature‐dependent ion mobilities. It is demonstrated that the model can faithfully reproduce NDR across a wide and physically realistic range of parameter combinations. Furthermore, the simulations reveal that the temperature of the electrolyte can exceed its boiling point, resulting in bubble formation. To mitigate this issue, materials with high heat transfer coefficients and low conductivity are recommended. In essence, the work bridges the gap between artificial membranotronic devices and biological neural networks by providing a robust physical model capable of emulating NDR, a key feature in the operation of such systems. This advancement in membranotronics holds great promise for the development of bioinspired soft artificial neuromimetic systems that closely mimic their biological counterparts.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

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