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About

Ying Li is a materials scientist and engineer whose research spans advanced hydrogel engineering, magnetic soft materials, and AI-driven materials design. Li's most celebrated contribution lies in the development of stretchable hydrogels that simultaneously achieve high stretchability, low hysteresis, and anti-fatigue fracture resistance through innovative polyprotein cross-linkers — a landmark 2020 study that has garnered over 270 citations and directly addresses critical challenges in flexible electronics, biosensors, and soft robotics. Complementing this work, Li has made significant strides in modeling hard-magnetic soft materials through the Magttice lattice framework, enabling more efficient simulation of magnetically actuated devices across robotics and biomedical applications. Li's research program also encompasses the design of environmentally robust conductive hydrogels capable of operating beyond mild conditions, a rapidly growing area reflected in over 50 citations since 2024. More recently, Li has pioneered the integration of artificial intelligence into supramolecular materials design, working to overcome the inefficiencies of traditional trial-and-error approaches. Additional contributions include nanoscale mechanical characterization of nanocomposite structures via vapor-phase infiltration, demonstrating a broad and technically sophisticated research portfolio with real-world implications for next-generation smart materials.