Programmable electrofluidics for ionic liquid based neuromorphic platform

Walker L. Boldman, Cheng Zhang, Thomas Z. Ward, Dayrl P. Briggs, Bernadeta R. Srijanto, Philip Brisk, Philip D. Rack

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Due to the limit in computing power arising fromthe VonNeumann bottleneck, computational devices are being developed that mimic neuro-biological processing in the brain by correlating the device characteristics with the synaptic weight of neurons. This platform combines ionic liquid gating and electrowetting for programmable placement/connectivity of the ionic liquid. In this platform, both short-term potentiation (STP) and long-term potentiation (LTP) are realized via electrostatic and electrochemical doping of the amorphous indium gallium zinc oxide (aIGZO), respectively, and pulsed bias measurements are demonstrated for lower power considerations. While compatible with resistive elements, we demonstrate a platformbased on transitive amorphous indiumgalliumzinc oxide (aIGZO) pixel elements. Using a lithium based ionic liquid, we demonstrate both potentiation (decrease in device resistance) and depression (increase in device resistance), and propose a 2D platform array that would enable a much higher pixel count via ActiveMatrix electrowetting.

Original languageEnglish
Article number478
JournalMicromachines
Volume10
Issue number7
DOIs
StatePublished - Jul 1 2019

Funding

Funding: This project was funded by the National Science Foundation Cyber-Physical Systems numbers #1544686 and #1545097. Program, grant numbers #1544686 and #1545097. Acknowledgments: P.D.R. and W.L.B. acknowledge support from the National Science Foundation’s Cyber-Physical Systems Program (#1544686). P.B. acknowledges support from the National Science Foundation’s Cyber-Physical Systems Program (#1545097). C.Z. acknowledges support by U.S. Department of Energy (DOE) under Grant DE-SC0002136. T.Z.W. acknowledges support by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division. D.P.B. and B.R.S. acknowledge support and all the authors acknowledge the device synthesis was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility.

Keywords

  • Biasing
  • Device
  • Electrochemical
  • Electrostatic
  • Electrowetting
  • IGZO
  • Indium gallium zinc oxide
  • Ionic liquid
  • Microfluidics
  • Neuromorphic
  • Platform
  • TFT
  • TFTs
  • Transistors

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