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About

Tomoki Machida is a leading figure in the autonomous assembly of van der Waals (vdW) heterostructures, pioneering the integration of robotics, computer vision, and machine learning to revolutionize the fabrication of atomically thin materials. His research focuses on automating the traditionally labor-intensive processes of exfoliating, searching for, and stacking two-dimensional (2D) crystals to build superlattices with unprecedented precision. Machida’s most impactful work, "Autonomous robotic searching and assembly of two-dimensional crystals to build van der Waals superlattices" (2018, 296 citations), introduced a fully automated robotic system that identifies and assembles 2D flakes, dramatically accelerating the construction of complex heterostructures. He further advanced this field with "Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials" (2020, 162 citations), which applied deep-learning algorithms to enable high-throughput, accurate detection of 2D materials. His comprehensive review, "Assembly of van der Waals heterostructures" (2019, 80 citations), has become a key resource for researchers. By eliminating manual bottlenecks, Machida’s innovations have opened new avenues for exploring the vast combinatorial space of vdW heterostructures, making him a pivotal contributor to the future of quantum materials and nanoelectronics.