Zhihao Wu

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Zhihao Wu is a rising leader in the field of advanced functional materials and intelligent systems, with a primary focus on MXene-based actuators and self-powered sensing technologies. His most-cited work, "2D Ti3C2Tx MXene-based light-driven actuator with integrated structure for self-powered multi-modal intelligent perception assisted by neural network" (2024, 46 citations), represents a breakthrough in merging materials science with artificial intelligence. In this study, Wu engineered a light-responsive actuator using two-dimensional Ti3C2Tx MXene, achieving an integrated structure that not only converts light into mechanical motion but also harvests energy for self-powered operation. By incorporating a neural network, his system enables multi-modal intelligent perception—detecting and interpreting multiple environmental stimuli simultaneously—paving the way for autonomous soft robotics and smart sensors. This work has already garnered significant attention for its innovative combination of material design, energy autonomy, and machine learning. Wu’s contributions are particularly impactful for students and researchers exploring next-generation actuators, energy harvesting, and bio-inspired intelligent systems, demonstrating how MXene-based platforms can bridge the gap between material properties and real-world autonomous applications.