English

Tunable intervalence charge transfer in ruthenium Prussian blue analogue enables stable and efficient biocompatible artificial synapses

Materials Science 2022-07-19 v1 Disordered Systems and Neural Networks Applied Physics Chemical Physics

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. Here, we present ruthenium Prussian blue analogue (RuPBA), a mixed valence coordination compound with an open framework structure and ability to conduct both ionic and electronic charge, for flexible artificial synapses that reversibly switch conductance by more than four orders of magnitude based on electrochemically tunable oxidation state. Retention of programmed states is improved by nearly two orders of magnitude compared to the extensively studied organic polymers, thus reducing the frequency, complexity and energy costs associated with error correction schemes. We demonstrate dopamine detection using RuPBA synapses and biocompatibility with neuronal cells, evoking prospective application for brain-computer interfacing. By application of electron transfer theory to in-situ spectroscopic probing of intervalence charge transfer, we elucidate a switching mechanism whereby the degree of mixed valency between N-coordinated Ru sites controls the carrier concentration and mobility, as supported by DFT.

Keywords

Cite

@article{arxiv.2207.07756,
  title  = {Tunable intervalence charge transfer in ruthenium Prussian blue analogue enables stable and efficient biocompatible artificial synapses},
  author = {Donald A. Robinson and Michael E. Foster and Christopher H. Bennett and Austin Bhandarkar and Elizabeth R. Webster and Aleyna Celebi and Nisa Celebi and Elliot J. Fuller and Vitalie Stavila and Catalin D. Spataru and David S. Ashby and Matthew J. Marinella and Raga Krishnakumar and Mark D. Allendorf and A. Alec Talin},
  journal= {arXiv preprint arXiv:2207.07756},
  year   = {2022}
}