Metal Chalcogenides for Neuromorphic Computing: Emerging Materials and Mechanisms

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Abstract

The approaching end of Moore's law scaling has significantly accelerated multiple fields of research including neuromorphic-, quantum, and photonic computing, each of which possesses unique benefits unobtained through conventional binary computers. One of the most compelling arguments for neuromorphic computing systems is power consumption, noting that computations made in the human brain are approximately 106 times more efficient than conventional CMOS logic. This review article focuses on the materials science and physical mechanisms found in metal chalcogenides that are currently being explored for use in neuromorphic applications. We begin by reviewing the key biological signal generation and transduction mechanisms within neuronal components of mammalian brains and subsequently compare with observed experimental measurements in chalcogenides. With robustness and energy efficiency in mind, we will focus on short-range mechanisms such as structural phase changes and correlated electron systems that can be driven by low-energy stimuli, such as temperature or electric field. We aim to highlight fundamental materials research and existing gaps that need to be overcome to enable further integration or advancement of metal chalcogenides for neuromorphic systems.

Original languageAmerican English
Article number372001
Number of pages28
JournalNanotechnology
Volume32
Issue number37
DOIs
StatePublished - 10 Sep 2021

Bibliographical note

Publisher Copyright:
© 2021 IOP Publishing Ltd.

NREL Publication Number

  • NREL/JA-5K00-77783

Keywords

  • 2D materials
  • charge density waves
  • neuromorphic materials
  • phase change materials
  • TMDCs

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