Papers
9
Total Citations
871
H-Index
9
About
Dace Gao is a pioneering researcher at the intersection of soft robotics, smart materials, and neuromorphic engineering, whose work has fundamentally advanced how machines sense, move, and interact with the world. Best known for a landmark 2020 review on artificial muscles for interactive soft robotics — now accumulating nearly 300 citations — Gao has systematically mapped the landscape of dielectric elastomers, pneumatic actuators, and electrochemical systems that give soft robots their lifelike capabilities. Their 2018 work on liquid-metal-particle-enabled stretchable conductors (269 citations) addressed a long-standing conductivity-stretchability trade-off, offering a printable solution critical for next-generation wearable electronics. Gao has further pushed boundaries through ionic covalent organic framework electrolytes for ultra-low voltage actuators, photothermal origami architectures, and MXene-functionalized artificial muscle yarns for smart textiles. Most recently, their development of a dendritic organic electrochemical neuron capable of anticoincidence detection signals an exciting pivot toward neuromorphic computing. Spanning materials science, robotics, and bioelectronics, Gao's body of work — totaling hundreds of citations across fewer than a decade — marks them as a formidable and versatile force in intelligent soft systems research.
Research Focus
Key Achievements
Top Papers
- 1Recent Progress in Artificial Muscles for Interactive Soft Robotics286 citations · 2020
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- 4A supramolecular gel-elastomer system for soft iontronic adhesives76 citations · 2023
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- 7Dual‐Responsive MXene‐Functionalized Wool Yarn Artificial Muscles29 citations · 2024
- 8Single organic electrochemical neuron capable of anticoincidence detection15 citations · 2025
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