Yixuan Zhao

Beijing National Laboratory for Molecular Sciences

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About

Yixuan Zhao is a pioneering researcher at the intersection of robotics and materials science, whose work is redefining the scalable manipulation of two-dimensional (2D) materials. Their most cited paper, "Automated processing and transfer of two-dimensional materials with robotics" (2025), has already garnered 18 citations, reflecting its immediate impact on a field hungry for automation solutions. Zhao’s core contributions lie in developing robotic systems that precisely handle atomically thin materials—such as graphene and transition metal dichalcogenides—overcoming the manual, error-prone processes that have long hindered practical applications. By integrating computer vision, machine learning, and micro-manipulation, they have enabled high-throughput, reproducible transfer of 2D flakes, a critical step for building next-generation electronic and optoelectronic devices. This work not only accelerates fundamental research but also paves the way for industrial-scale production of van der Waals heterostructures. Zhao’s achievements represent a paradigm shift: where once researchers painstakingly aligned individual layers by hand, their robotic approach promises speed, consistency, and scalability. For students and researchers, Zhao’s work is a compelling example of how cross-disciplinary innovation can solve grand challenges in nanotechnology, making complex materials assembly as routine as automated manufacturing.