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About

Dr. Mei Tie is pioneering the emerging field of mechanical computing and intelligent metamaterials. Her research focuses on embedding logical and neural network functions directly into physical structures, creating materials that can sense, analyze, and actuate without traditional electronics. Her most impactful work, "A mechanical metamaterial with reprogrammable logical functions" (194 citations), introduced a paradigm shift by demonstrating that mechanical logic—previously considered fixed—could be altered during service, opening new possibilities for adaptive soft robotics and MEMS. Building on this, her bistability-based origami logic gates (122 citations) provided a foldable, compact platform for mechanical computation. More recently, Dr. Tie has advanced the field with bi-material sinusoidal beams for temperature-responsive multistable metamaterials (48 citations) and, in 2024, introduced "Mechanical Neural Networks with Explicit and Robust Neurons," a breakthrough that replaces implicit nonlinear equations with explicit, robust mechanical neurons, enabling more efficient data-driven cognitive tasks. Her work is laying the foundation for a new generation of autonomous, intelligent materials that can process information physically, promising transformative applications in robotics, aerospace, and adaptive infrastructure.