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About

Fengling Zhuo is at the forefront of soft electronics, pioneering the integration of advanced materials with machine learning to create next-generation wearable and biometric technologies. Her research focuses on conductive hydrogels, liquid metal hybrids, and iontronic pressure sensors, addressing the critical challenge of simultaneously achieving high sensitivity, stretchability, and environmental stability. Zhuo’s most impactful work includes a Kirigami-inspired 3D-printable MXene organohydrogel for soft electronics (87 citations), which introduced a novel structural design to overcome material limitations. She further advanced the field by developing a liquid metal hybrid-hydrogel that enables superior compressive and tensile bi-directional strain sensing, empowered by machine learning algorithms (50 citations). Her contributions to high-performance interfacial iontronic pressure sensors (45 citations) highlight her expertise in morphological and material engineering for healthcare and interactive systems. Notably, Zhuo has also integrated machine learning with graphene oxide-based hydrogels for handwriting recognition (31 citations), demonstrating a unique interdisciplinary approach that bridges materials science and artificial intelligence. Her work is widely cited and recognized for pushing the boundaries of flexible, intelligent electronic systems.