journal article·2026-06-17

Thermally Tunable Photonic Synaptic Transistor with Bioinspired Temporal Dynamics for Task-Adaptive Neuromorphic Vision

Shilin Lu, Hong Jun Kim, Si Hyun Park, Cong Wang, Jihoon Han, Hye Jin Son, Kyu Min Kim, Young Wook Kim, Jong Bin An, Jae Min Myoung, Hyun Jae Kim

ACS Applied Materials & Interfaces· Volume 18· Issue 23
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Abstract

Inspired by temperature-associated temporal redistribution in biological systems, we demonstrate a thermally tunable photonic synaptic transistor (TT-PST) based on a magnesium-doped zinc oxide (MZO)/indium-gallium-zinc oxide (IGZO) heterostructure. By using temperature as a simple external control parameter, we enable continuous and reversible reshaping of synaptic temporal behavior without structural reconfiguration. As the temperature increases from 20 to 80 °C, the maximum photoresponsivity (Max. PR) rises from 0.43 to 2.25 A/W, while the temporal persistence decreases sharply, resulting in a transition from integration-dominant to response-dominant operation. Leveraging this capability, temperature-dependent temporal encoding is evaluated in two representative visual tasks using experimentally extracted device dynamics in a convolutional neural network (CNN) framework. Weak-signal recognition under low-light conditions achieves higher accuracy at 20 °C (82.86%) compared to 80 °C (69.23%), whereas dynamic motion analysis shows superior performance at 80 °C (88.03%) versus 20 °C (74.37%). These findings establish temperature as a bioinspired, physically accessible knob for on-demand temporal dynamics engineering in a single hardware platform, providing an efficient strategy for task-adaptive neuromorphic vision systems.
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Research context

OpenAlex topics: Neural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

Department of Intelligent Display Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

BIT Micro Fab Research Center, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

Funding

Ministry of Trade, Industry and Energy

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