Dynamical nonlinear memory capacitance in biomimetic membranes

Joseph S. Najem, Md Sakib Hasan, R. Stanley Williams, Ryan J. Weiss, Garrett S. Rose, Graham J. Taylor, Stephen A. Sarles, C. Patrick Collier

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Two-terminal memory elements, or memelements, capable of co-locating signal processing and memory via history-dependent reconfigurability at the nanoscale are vital for next-generation computing materials striving to match the brain’s efficiency and flexible cognitive capabilities. While memory resistors, or memristors, have been widely reported, other types of memelements remain underexplored or undiscovered. Here we report the first example of a volatile, voltage-controlled memcapacitor in which capacitive memory arises from reversible and hysteretic geometrical changes in a lipid bilayer that mimics the composition and structure of biomembranes. We demonstrate that the nonlinear dynamics and memory are governed by two implicitly-coupled, voltage-dependent state variables—membrane radius and thickness. Further, our system is capable of tuneable signal processing and learning via synapse-like, short-term capacitive plasticity. These findings will accelerate the development of low-energy, biomolecular neuromorphic memelements, which, in turn, could also serve as models to study capacitive memory and signal processing in neuronal membranes.

Original languageEnglish (US)
Article number3239
JournalNature communications
Volume10
Issue number1
DOIs
StatePublished - Dec 1 2019

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All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

Cite this

Najem, J. S., Hasan, M. S., Williams, R. S., Weiss, R. J., Rose, G. S., Taylor, G. J., Sarles, S. A., & Collier, C. P. (2019). Dynamical nonlinear memory capacitance in biomimetic membranes. Nature communications, 10(1), [3239]. https://doi.org/10.1038/s41467-019-11223-8