Oxide-Based Optical Synapses with Low Consumption for In-Sensor Reservoir Computing
In this work, we propose a two-terminal ITO/NiO/HfO 2 /Pd optical synapse that has tunable temporal dynamics under light stimuli. The optical synapse exhibits light intensity and frequency-dependent nonlinear synaptic short-term plasticity (STP) at a low read voltage of 0.05 V, indicating the potent...
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Published in | 2025 9th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) pp. 1 - 3 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
09.03.2025
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/EDTM61175.2025.11040532 |
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Summary: | In this work, we propose a two-terminal ITO/NiO/HfO 2 /Pd optical synapse that has tunable temporal dynamics under light stimuli. The optical synapse exhibits light intensity and frequency-dependent nonlinear synaptic short-term plasticity (STP) at a low read voltage of 0.05 V, indicating the potential for achieving in-sensor reservoir computing (RC) with reduced power consumption. The RC system, utilizing our optical synapses, can operate at an ultra-low energy consumption level of 15 fJ while achieving a remarkably high recognition accuracy of 95.95 %. |
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DOI: | 10.1109/EDTM61175.2025.11040532 |