Papers

3

Total Citations

63

H-Index

3

About

Cheng-Liang Liu is a leading researcher in the field of bio-inspired optoelectronics, with a focus on developing next-generation photonic synapses for artificial intelligence and robotics. His work centers on creating stretchable, low-energy neuromorphic devices that mimic biological synaptic behavior using light. Liu’s major contributions include pioneering the use of conjugated block copolymers and perovskite quantum dot nanocomposites to fabricate photosynaptic transistors that operate with ultralow energy consumption—a critical step toward energy-efficient AI hardware. His 2023 paper on stretchable photosynaptic transistors has already garnered 36 citations, reflecting its impact, while his subsequent 2024 work on surface ligand engineering of perovskite quantum dots (23 citations) further advances n-type, stretchable devices. Liu has also explored crystalline self-assembled monolayers to enhance biomimetic photosynapses with ultraviolet light protection. By addressing key challenges in lightweight, miniaturized, and low-power design, Liu’s research is paving the way for more efficient, adaptable neuromorphic systems that could revolutionize robotics and intelligent sensing technologies.

Research Focus

Key Achievements

3
H-Index
3
Papers
63
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Stretchable photosynaptic transistor with an ultralow energy consumption conferred using conjugated block copolymers/perovskite quantum dots nanocomposites
36 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: National Taipei University of Technology, National Taiwan University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago