Papers

1

Total Citations

17

H-Index

1

About

Zhihao Yu is an emerging researcher working at the cutting edge of neuromorphic computing and advanced semiconductor device engineering. Their work focuses on the development of optoelectronic synaptic transistors, particularly leveraging indium gallium zinc oxide (IGZO) as a functional material platform for brain-inspired computing architectures. Yu's most recognized contribution to date is a 2024 study on ultra-low power IGZO optoelectronic synaptic transistors, which has already garnered 17 citations — a notable achievement for recently published work, signaling strong early interest from the neuromorphic hardware community. This research addresses one of the central challenges in next-generation computing: building energy-efficient artificial synapses that can mimic biological neural plasticity. By combining the unique optoelectronic properties of IGZO with synaptic device design, Yu's work bridges materials science, device physics, and artificial intelligence hardware. Their contributions are particularly relevant at a time when the field is urgently seeking sustainable alternatives to conventional von Neumann computing architectures, positioning Yu as a promising voice in the neuromorphic devices research landscape.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Ultra-low power IGZO optoelectronic synaptic transistors for neuromorphic computing
17 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Nanjing University of Posts and Telecommunications

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago