Short-Term Bienenstock-Cooper-Munro Learning in Optoelectrically-Driven Flexible Halide Perovskite Single Crystal Memristors

Summary, in English

The transition to smart, wearable, and flexible optoelectronic devices that communicate with each other and perform neuromorphic computing at the edge, is a major goal in next-generation optoelectronics. These devices are expected to carry out their regular tasks while being supported by energy-efficient, in-memory computations. In this study, a lateral flexible device based on cesium lead tribromide perovskite single crystals integrated with single-walled carbon nanotube thin-film electrodes is presented. It is demonstrated that the device follows the Bienenstock-Cooper-Munro theory of synaptic modification under hybrid optoelectronic stimuli. This biorealistic response paves the way for the development of hybrid organic–inorganic artificial visual systems.

• Author: Ivan Matchenya; Anton Khanas; Roman Podgornyi; Daniil Shirkin; Alexey Ekgardt; Nikita Sizykh; Sergey Anoshkin; Dmitry V. Krasnikov; Alexei Yulin; Alexey Zhukov; Albert G. Nasibulin; Ivan G. Scheblykin; Anatoly Pushkarev; Andrei Zenkevich; Juan Bisquert; Alexandr Marunchenko
• Department/s: Chemical Physics; NanoLund: Centre for Nanoscience; LTH Profile Area: Nanoscience and Semiconductor Technology; LTH Profile Area: Photon Science and Technology; LU Profile Area: Light and Materials
• Publishing year: 2025-09
• Language: English
• Publication/Series: Small Methods
• Volume: 9
• Issue: 9
• Links: http://dx.doi.org/10.1002/smtd.202500203
• Document type: Journal article
• Publisher: John Wiley & Sons Inc.
• Topic: Condensed Matter Physics (including Material Physics, Nano Physics)
• Keywords: carbon nanotubes; inorganic single crystals; memristor; metal halide perovskites; synaptic plasticity
• Status: Published
• ISBN/ISSN/Other: ISSN: 2366-9608