4.3 Review

Recent Progress of Organic-Inorganic Hybrid Perovskites in RRAM, Artificial Synapse, and Logic Operation

Journal

SMALL SCIENCE
Volume 2, Issue 2, Pages -

Publisher

WILEY
DOI: 10.1002/smsc.202100086

Keywords

artificial synapses; logic operation; memristor; neuromorphic computing; organic-inorganic perovskite

Funding

  1. City University of Hong Kong [9380117]
  2. 111 Project [D20015]
  3. National Natural Science Foundation of China [22008164]
  4. Natural Science Foundation of Jiangsu Province [BK20190939]
  5. Natural Science Foundation of the Jiangsu Higher Education Institutions of China [19KJB150018]
  6. Six Talent Peaks Project of Jiangsu Province, China [XCL-078]
  7. Jiangsu Key Disciplines of the Thirteenth Five-Year Plan [20168765]
  8. Suzhou Key Laboratory for Low Dimensional Optoelectronic Materials and Devices [SZS201611]

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This review provides an overview of the structural, photoelectronic properties, and device fabrication technologies of organic-inorganic hybrid perovskites (OHPs). It discusses the recent progress and applications of OHPs in resistive random-access memory (RRAM), artificial synapses, and logic operation. The operational mechanisms, performance improvement strategies, challenges, and future development prospects of OHPs-based devices are also summarized.
Organic-inorganic hybrid perovskites (OHPs) with a rich reservoir of distinct physical attributes have been considered as promising resistive switching materials for next-generation electronic devices, including resistive random-access memory (RRAM) devices, artificial synapses, and logic operation. In this review, we first briefly introduce the structural and photoelectronic properties of OHPs materials, followed by elaborating the typical lateral/vertical device architectures and commonly-used device fabrication technologies. Secondly, recent progress of OHPs in three categories of RRAM, artificial synapses, and logic operation, including various materials design, outstanding electrical behaviors, and multifunctional applications, are well discussed. Besides, the operational mechanisms and performance improvement strategies are summarized in a recapitulative way. Finally, current challenges and future development prospects of OHPs-based devices are demonstrated to provide a better guideline for the next-generation technical revolution. This review offers an encouraging recognition that OHPs hold immense expectation to keep up with the upcoming big-data and artificial intelligence era.

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