Kaiyang Wang

Papers

Total Citations

168

H-Index

About

Kaiyang Wang is a materials scientist and engineer whose research sits at the intersection of advanced polymer chemistry, additive manufacturing, and soft robotics. He is best known for pioneering tough, 3D-printable silicone double networks (SilDNs), a breakthrough that overcomes the longstanding challenge of printing chemically dissimilar, high-performance elastomers. His 2020 paper on this topic has garnered over 130 citations, reflecting its impact on the field of soft device fabrication. Wang also made significant contributions to the development of photomechanical elastomers (PMEs)—light-driven, self-healing materials that mimic artificial muscle actuation. His 2019 work introducing a simple two-stage synthesis for these programmable polymers has been cited nearly 40 times and was featured on the front cover of a leading materials journal. By enabling the creation of robust, responsive, and repairable soft actuators, Wang’s research bridges the gap between fundamental polymer design and real-world soft robotic applications. His work continues to inspire new approaches to integrating structural integrity, stimuli-responsiveness, and processability in next-generation smart materials.