Optoelectronic Mesoporous Titania Memristor with Light‐Modulation by Laser Pointer

Abstract Here, optoelectronic synaptic device based on thin film mesoporous titania (meso‐TiO 2 ) is demonstrated as sensing active layer under illumination of low power laser pointers (532 nm or 632 nm), which could modulate weight change of input signal under the light‐illumination and electrical‐bias sequentially. Moreover, through both photonic and electronic co‐modulation of input signal on the aluminum/meso‐TiO 2 /indium tin oxide (ITO) device array, multiple hand‐writings of numerical letters of “3” and “5” by laser pointer could be identified, stored, and erased. The laser pointer drawn letter images were self‐adaptively preprocessed and memorized as photosynaptic perception concept with the visual neuromorphic 28 × 28 array. Moreover, the photosynaptic devices were demonstrated to possess self‐rectifying and three different meso‐TiO 2 device's formats of crossbar, cap, and lateral electrode structures along with the various metal materials for top and bottom electrodes. In addition, the current–voltage ( I–V ) characteristics with series of photonic potentiation by lase pointer could show excitatory postsynaptic current (EPSC) behavior as well. In addition, thermal protocol of erase for the laser induced memory was examined, which could reset the adaptively perceived and memorized image under laser illumination. Accordingly, the dual modulation of photo‐synaptic meso‐TiO 2 array can open initial step for artificial visual platform for image acquisition and preprocessing.

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Publication Details

Journal
Advanced Physics Research
Published
2025-09-22
DOI
https://doi.org/10.1002/apxr.202500058
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Optoelectronic Mesoporous Titania Memristor with Light‐Modulation by Laser Pointer

Eunsu Jang, Dhanashri Vittahl Desai, Hyun Ho Lee, Gillhwan Kim
Advanced Physics Research
Advanced Memory and Neural Computing
article

Optoelectronic Mesoporous Titania Memristor with Light‐Modulation by Laser Pointer

Eunsu Jang, Dhanashri Vittahl Desai, Hyun Ho Lee, Gillhwan Kim
article en

Abstract

Abstract Here, optoelectronic synaptic device based on thin film mesoporous titania (meso‐TiO 2 ) is demonstrated as sensing active layer under illumination of low power laser pointers (532 nm or 632 nm), which could modulate weight change of input signal under the light‐illumination and electrical‐bias sequentially. Moreover, through both photonic and electronic co‐modulation of input signal on the aluminum/meso‐TiO 2 /indium tin oxide (ITO) device array, multiple hand‐writings of numerical letters of “3” and “5” by laser pointer could be identified, stored, and erased. The laser pointer drawn letter images were self‐adaptively preprocessed and memorized as photosynaptic perception concept with the visual neuromorphic 28 × 28 array. Moreover, the photosynaptic devices were demonstrated to possess self‐rectifying and three different meso‐TiO 2 device's formats of crossbar, cap, and lateral electrode structures along with the various metal materials for top and bottom electrodes. In addition, the current–voltage ( I–V ) characteristics with series of photonic potentiation by lase pointer could show excitatory postsynaptic current (EPSC) behavior as well. In addition, thermal protocol of erase for the laser induced memory was examined, which could reset the adaptively perceived and memorized image under laser illumination. Accordingly, the dual modulation of photo‐synaptic meso‐TiO 2 array can open initial step for artificial visual platform for image acquisition and preprocessing.

Advanced Physics ResearchVol. 4(11)
Myongji University (KR)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea
Openalex Percentile: Top 75%
Advanced Memory and Neural Computing
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Optoelectronic Mesoporous Titania Memristor with Light‐Modulation by Laser Pointer — Eunsu Jang, Dhanashri Vittahl Desai, et al. · Advanced Physics Research (2025) | TGRS Research Map | TGRS