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About

Junyao Zhang is a leading researcher at the frontier of neuromorphic computing and bioinspired electronic devices, with a focus on developing next-generation hardware for artificial intelligence and sensory systems. Their major contributions include the creation of organic high-temperature synaptic phototransistors for energy-efficient neuromorphic computing—a breakthrough enabling reliable operation beyond 121°C, with direct applications in biomedical electronics and bionic robotics. Zhang has also pioneered stretchable neuromorphic transistors that emulate pain perception and sensitization, mimicking the human body’s ability to detect harmful stimuli and avoid injury. With over 98 citations across their most-cited works, Zhang’s research has significantly advanced the field of artificial synapses and intelligent soft actuators, including light-controlled liquid crystal network actuators and gradient-structured dual-modal sensors for tactile and touchless sensing. Notably, Zhang contributed to the influential “2022 roadmap on neuromorphic devices and applications research in China,” underscoring their role in shaping national research directions. Their work bridges materials science, neuroscience, and robotics, driving innovations in embodied intelligence, human-machine interaction, and energy-efficient computing.