Zhuoyu Song

Dalian University of Technology

Papers

2

Total Citations

4

H-Index

1

About

Zhuoyu Song is a rising researcher at the forefront of soft electronics and intelligent materials, with a focus on developing next-generation sensors for robotics and wearable technology. Their work uniquely integrates advanced nanomaterials with additive manufacturing to solve fundamental trade-offs in sensor performance. Song’s most notable contribution is the development of MXene-triggered 3D printing for gradient-modulus iontronic pressure sensors, a breakthrough that achieves both high sensitivity and a wide linear range—a long-standing challenge in capacitive sensing. This innovation enables adaptive robotic grasping with unprecedented tactile feedback. Complementing this, Song has engineered high-permittivity, low-hysteresis dielectric elastomers that deliver near-free dynamic hysteresis, allowing for high-fidelity strain sensors critical for precise motion tracking in soft robotics and human-machine interfaces. Though early in their career, with recent 2025 publications already garnering citations, Song’s work is rapidly gaining recognition for its practical impact on electronic skin and wearable devices. Their synergistic approach of combining materials chemistry with 3D printing positions them as a key innovator in the field of flexible and stretchable electronics.

Research Focus

Key Achievements

1
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
MXene‐Triggered 3D Printing of Gradient‐Modulus Iontronic Pressure Sensors for Adaptive Robotic Grasping
3 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Dalian University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago