Sensor–Storage–Computing Integrated Synaptic Devices Based on SrTiO<sub>3</sub>–TiO<sub>2</sub> Heterojunctions with Kilosecond-Level Retention

In this study, we deposited a TiO<sub>2</sub> photosensitive layer on SrTiO<sub>3</sub> film by the spin-coating method and successfully developed an artificial synaptic device with the integration of sense-store-computation functions. The energy band structure of the heterojunction and the direction of the built-in electric field are determined by steady-state absorption spectroscopy. The carrier relaxation dynamics at the femtosecond level of the device is observed by transient absorption spectroscopy, and it is determined that the built-in electric field of the heterojunction dominates the complex dynamics of the photogenerated carriers. External bias is used to modulate this electric field, and intelligent processing of the photovoltaic signals is realized. Through the comodulation of photoelectric signals on the artificial synaptic device, intelligent applications are realized in three dimensions: sensing-storage-computing. The device has a long retention time (>1000 s), function switching based on different wavelengths of light signals (positive and negative optical conductance and photodetector functions can be realized separately), and high handwriting digit set detection accuracy (>95%). This study integrates the dual advantages of low-cost processing and a simple preparation process to prepare an integrated sensor-storage-computing device, which opens up a manufacturing path for the construction of a high-density integrated photoelectric device.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-09-23
DOI
https://doi.org/10.1021/acsami.5c10805
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46
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article

Sensor–Storage–Computing Integrated Synaptic Devices Based on SrTiO3–TiO2 Heterojunctions with Kilosecond-Level Retention

Qi‐Jun Sun, Xin‐Gui Tang, Dong-Ping Yang, Junpeng Deng et al.
2 citations
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
1.46
article

Sensor–Storage–Computing Integrated Synaptic Devices Based on SrTiO3–TiO2 Heterojunctions with Kilosecond-Level Retention

Qi‐Jun Sun, Xin‐Gui Tang, Dong-Ping Yang, Junpeng Deng, Dongliang Li
article en
2 citations

Abstract

In this study, we deposited a TiO<sub>2</sub> photosensitive layer on SrTiO<sub>3</sub> film by the spin-coating method and successfully developed an artificial synaptic device with the integration of sense-store-computation functions. The energy band structure of the heterojunction and the direction of the built-in electric field are determined by steady-state absorption spectroscopy. The carrier relaxation dynamics at the femtosecond level of the device is observed by transient absorption spectroscopy, and it is determined that the built-in electric field of the heterojunction dominates the complex dynamics of the photogenerated carriers. External bias is used to modulate this electric field, and intelligent processing of the photovoltaic signals is realized. Through the comodulation of photoelectric signals on the artificial synaptic device, intelligent applications are realized in three dimensions: sensing-storage-computing. The device has a long retention time (>1000 s), function switching based on different wavelengths of light signals (positive and negative optical conductance and photodetector functions can be realized separately), and high handwriting digit set detection accuracy (>95%). This study integrates the dual advantages of low-cost processing and a simple preparation process to prepare an integrated sensor-storage-computing device, which opens up a manufacturing path for the construction of a high-density integrated photoelectric device.

ACS Applied Materials & InterfacesVol. 17(40)
Guangdong University of Technology (CN), Integrated Optoelectronics (Norway) (NO)
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
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