A CMOS-Compatible MoS<sub>2</sub> Transistor on Silicon-Rich Silicon Nitride as Multifunctional Neuromorphic Device
Neuromorphic systems process information efficiently, but scalable hardware implementation of synaptic units remains challenging. In this work, we fabricated silicon-rich silicon nitride films as the gate dielectric and leveraged charge trap interactions with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{MoS}_{2}$</tex> to simulate both electrical and optoelectronic synaptic functions in a single device. This device exhibits excellent linearity with positive weights (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{R}^{2}=0.99$</tex>) and demonstrates significant photo-induced shortterm plasticity. Additionally, the entire fabrication process is CMOS-compatible, facilitating large-scale integration.
Authors
- Yuda Zhao (ORCID: https://orcid.org/0000-0003-2748-0537)
- Hongzhao Wu (ORCID: https://orcid.org/0009-0000-5097-4450)
- Xinlong Zeng
- Xiangwei Su
- Caijing Liang
Institutions
- Zhejiang University (CN)
Publication Details
- Published
- 2025-03-09
- DOI
- https://doi.org/10.1109/edtm61175.2025.11041304
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China