Abstract
The convergence of neuromorphic electronics and optoelectronic materials offers a pathway toward next-generation artificial vision systems. Synaptic transistors, which emulate the adaptive plasticity of biological synapses, can process information in an energy-efficient and parallel fashion. Perovskite photodetectors, on the other hand, provide tunable band gaps, high responsivity, and facile fabrication, making them excellent candidates for light sensing. Integrating these two device classes enables direct photoresponsive computation, where optical signals are not only detected but also weighted, filtered, and stored in a single element. My research explores the electrical and optical coupling mechanisms in such hybrid devices, examining how ion migration, trap states, and interfacial engineering affect synaptic behavior under illumination.
Document Type
Article
Class Name
Electrical and Systems Engineering Undergraduate Research
Language
English (en)
Date of Submission
12-3-2025
Recommended Citation
Zhu, Sydney; Liu, Shuoyan; and Zhang, Yiheng, "Integrating synaptic transistors with perovskite photodetectors for neuromorphic applications" (2025). Electrical and Systems Engineering Undergraduate and Graduate Research. 47.
https://openscholarship.wustl.edu/eseundergraduate_research/47