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About

Quanquan Guo is a materials scientist whose research sits at the dynamic intersection of smart materials, wearable electronics, and soft robotics. His work centers on designing advanced functional materials — particularly conductive self-healing hydrogels, MXene-based elastomers, and stimuli-responsive actuators — that mimic the adaptive, self-repairing properties of biological tissues. Guo's most influential contribution, published in 2021 and garnering 293 citations, tackled a long-standing challenge in wearable sensor development: simultaneously optimizing mechanical performance, electrical conductivity, and self-healing capability in conductive hydrogels. His protein-inspired Ti₃C₂ MXene/rubber supramolecular elastomer (236 citations) demonstrated how biologically inspired design strategies can yield highly sensitive, self-healable sensing materials critical for artificial intelligence and smart robotics. Earlier work on hierarchically structured actuators (172 citations) achieved the rare integration of multistimuli responsiveness — light and magnetic — with autonomous self-healing in a single material system. Collectively, Guo's research has accumulated over 700 citations, reflecting substantial influence in the field of intelligent soft materials. His contributions are advancing the foundational technologies needed for next-generation wearable devices, prosthetics, and autonomous robotic systems.