A5101774055- Advanced Memory and Neural Computing
- Neural Networks and Reservoir Computing
- Ferroelectric and Negative Capacitance Devices
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Suzhou Institute of Nano-tech and Nano-bionics
2024-2025
Chinese Academy of Sciences
2024-2025
IMS Nanofabrication (Austria)
2025
Artificial synapses, basic units of neuromorphic hardware, have been studied to emulate synaptic dynamics, which are beneficial for realizing high-quality neural networks. Currently, two-dimensional (2D) material heterojunction structures widely used in the study artificial synapses; however, their dynamic weight-updating characteristics restricted owing high nonlinearity and low symmetricity. In this study, we treated h-BN with oxygen plasma form a charge-trapping layer (CTL), prepared 2D...
Neuromorphic devices, which break the traditional von Neumann architecture, have attracted much attention for their ability to mimic perception, learning, and memory functions of human brain. Two-dimensional (2D) materials are excellent candidates building neuromorphic devices due atomic-level thickness optoelectronic properties. In this work, we designed a nonvolatile floating-gate synaptic device based on an HfS2/HfOx/SnS2 van der Waals heterostructure. This exhibits large window 60 V,...
The use of two-dimensional materials and van der Waals heterostructures holds great potential for improving the performance memristors Here, we present SnS