Yaoyao Jin
Papers
1
Total Citations
34
H-Index
1
About
Yaoyao Jin is a leading researcher in the field of neuromorphic computing and advanced semiconductor devices, with a primary focus on oxide-based memristors for artificial synapses and sensory systems. Their most cited work, "An Oxide-Based Bilayer ZrO₂/IGZO Memristor for Synaptic Plasticity and Artificial Nociceptor" (2023, 34 citations), represents a significant breakthrough in mimicking biological learning behaviors. By fabricating memristors using 45-nm complementary metal–oxide–semiconductor (CMOS) technology on Si/SiO₂ substrates, Jin demonstrated how these devices can emulate both synaptic plasticity and nociceptor functions—the biological sensors that detect harmful stimuli. This dual functionality is crucial for developing energy-efficient, brain-inspired computing systems and intelligent sensory interfaces. Jin’s contributions bridge the gap between emerging memristor technology and industrial CMOS fabrication processes, paving the way for scalable neuromorphic hardware. With growing citation impact, their work is shaping the future of artificial intelligence hardware, offering a pathway toward more adaptive, autonomous systems that can learn and respond to their environment like biological organisms.
Research Focus
Key Achievements
Top Papers
- 1