Tunable Intervalence Charge Transfer in Ruthenium Prussian Blue Analog Enables Stable and Efficient Biocompatible Artificial Synapses

Donald A. Robinson, Michael E. Foster, Christopher H. Bennett, Austin Bhandarkar, Elizabeth R. Webster, Aleyna Celebi, Nisa Celebi, Elliot J. Fuller, Vitalie Stavila, Catalin D. Spataru, David S. Ashby, Matthew J. Marinella, Raga Krishnakumar, Mark D. Allendorf, A. Alec Talin

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Emerging concepts for neuromorphic computing, bioelectronics, and brain-computer interfacing inspire new research avenues aimed at understanding the relationship between oxidation state and conductivity in unexplored materials. This report expands the materials playground for neuromorphic devices to include a mixed valence inorganic 3D coordination framework, a ruthenium Prussian blue analog (RuPBA), for flexible and biocompatible artificial synapses that reversibly switch conductance by more than four orders of magnitude based on electrochemically tunable oxidation state. The electrochemically tunable degree of mixed valency and electronic coupling between N-coordinated Ru sites controls the carrier concentration and mobility, as supported by density functional theory computations and application of electron transfer theory to in situ spectroscopy of intervalence charge transfer. Retention of programmed states is improved by nearly two orders of magnitude compared to extensively studied organic polymers, thus reducing the frequency, complexity, and energy costs associated with error correction schemes. This report demonstrates dopamine-mediated plasticity of RuPBA synapses and biocompatibility of RuPBA with neuronal cells, evoking prospective application for brain-computer interfacing.

Original languageEnglish (US)
Article number2207595
JournalAdvanced Materials
Volume35
Issue number37
DOIs
StatePublished - Sep 14 2023

Keywords

  • charge carrier mobility
  • delocalization
  • electrochemical doping
  • mixed valence
  • neuromorphic computing

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

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