Optically Tunable Synaptic Plasticity and Memory Emulation in Au-Nanoparticle Enhanced HfTiOx/Al2O3-Based Photonic Memristors
- Authors
- Mahata, Chandreswar; Ismail, Muhammad; Kim, Hyungjin; Kim, Sungjun
- Issue Date
- Jan-2026
- Publisher
- WILEY-V C H VERLAG GMBH
- Keywords
- Au nanoparticles (Au-NPs); dual-wavelength light stimulation; optoelectronic synaptic plasticity; pavlovian associative learning; visual memory emulation
- Citation
- ADVANCED FUNCTIONAL MATERIALS, v.36, no.3, pp 1 - 15
- Pages
- 15
- Indexed
- SCIE
SCOPUS
- Journal Title
- ADVANCED FUNCTIONAL MATERIALS
- Volume
- 36
- Number
- 3
- Start Page
- 1
- End Page
- 15
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212445
- DOI
- 10.1002/adfm.202510663
- ISSN
- 1616-301X
1616-3028
- Abstract
- The optically stimulated synaptic device incorporates gold nanoparticles (Au-NPs) embedded within an atomic-layer-deposited HfTiOx/Al2O3 bilayer, which enables the photonic modulation of synaptic plasticity. The HfTiOx/Au-NP interface enhances visible light absorption and utilization efficiency by generating ionized oxygen vacancies through the neutral oxygen vacancy sites, thereby modulating the device conductance states. This architecture effectively mimics key biological synaptic functions, including paired-pulse facilitation (PPF), memory transitions from short-term to long-term memory (STM to LTM), and spike-rate-dependent plasticity (SRDP). The device further demonstrates optical logic operations and Pavlovian associative learning under dual-wavelength light stimulation (405 and 450 nm). The intensity-dependent generation of photocarriers and their nonlinear interaction with oxygen vacancies enable robust synaptic behavior, facilitating the emulation of human visual perception in a 4 x 4 optoelectronic synapse array with short-term memory capabilities. Moreover, the wavelength- and sequence-dependent synaptic responses can be finely controlled for the design of light-programmable reservoir computing systems. These results demonstrate the potential of the HfTiOx/Au-NP/Al2O3 switching layer as a promising platform for efficient neuromorphic computing and vision-based information processing using integrated optoelectronic synapses.
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