Memcapacitive devices in neuromorphic circuits via polymeric biomimetic membranes

Colin Basham, Megan Pitz, Joseph Najem, Stephen Sarles, Md Sakib Hasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Two-terminal adaptive materials and circuit elements that mimic the signal processing, learning, and computing capabilities of biological synapses are essential for next-generation computing systems. To this end, we have recently developed resistive (ion channel) and capacitive (lipid bilayer) memory elements that mimic the composition, structure, and plasticity of biological synapses. Unlike solid-state counterparts, these biomolecular systems are low-power, analog, less noisy, biocompatible, and capable of exhibiting multiple timescales of short-term synaptic plasticity. However, lipid membranes lack structural stability and modularity necessary for a long-lasting adaptive material system. To address this issue, we propose the replacement of phospholipids with amphiphilic polymers to create artificial membranes, which have been demonstrated to be more durable than phospholipids. With the focus on memory capacitors, we demonstrate that polymeric bilayers can exhibit pinched hysteresis in the Q-v plane because of voltage-induced geometrical changes. Further, we demonstrate that the memcapacitive response is altered based on the surrounding oil medium; smaller oil molecules are retained at higher volume in the membrane, so that thicker bilayers have lower nominal capacitance but can vary this value by over 400%. Finally, we present a physics-based model that enables us to predict the device's areal voltage-dependent response. Polymeric bilayers represent a significant enhancement in the field of soft-matter, geometrically-reconfigurable memcapacitors, and their highly customizable compositions will allow for a finely tuned electrical response that has a future in brain-inspired materials and circuits.

Original languageEnglish (US)
Title of host publicationASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859131
DOIs
StatePublished - 2019
EventASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019 - Louisville, United States
Duration: Sep 9 2019Sep 11 2019

Publication series

NameASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019

Conference

ConferenceASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019
CountryUnited States
CityLouisville
Period9/9/199/11/19

All Science Journal Classification (ASJC) codes

  • Biomaterials
  • Civil and Structural Engineering

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  • Cite this

    Basham, C., Pitz, M., Najem, J., Sarles, S., & Hasan, M. S. (2019). Memcapacitive devices in neuromorphic circuits via polymeric biomimetic membranes. In ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019 (ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2019). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/SMASIS2019-5648