Yihang Liu
Papers
1
Total Citations
103
H-Index
1
About
Yihang Liu is a leading researcher in neuromorphic computing and flexible organic electronics, with a focus on developing brain-inspired hardware for next-generation intelligent systems. His most impactful contribution is the invention of fully printed, all-solid-state organic flexible artificial synapses, which enable nonvolatile, low-power neuromorphic computing on bendable substrates. This work, published in 2019 and garnering over 100 citations, addresses a critical need for deformable, biocompatible devices in applications ranging from human-machine interfaces and soft robotics to medical implants and biological studies. By pioneering scalable printing techniques for organic materials, Liu has advanced the practical realization of flexible artificial neural networks that can learn and adapt like biological synapses. His research bridges materials science, device engineering, and computational neuroscience, offering a pathway toward energy-efficient, physically flexible AI hardware. Liu’s achievements have positioned him at the forefront of the emerging field of printed neuromorphic systems, with his work serving as a foundational reference for researchers developing wearable and implantable intelligent electronics.
Research Focus
Key Achievements
Top Papers
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