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Explore cutting-edge developments in automated electron microscopy experiments and atomic fabrication in this Manuel Cardona lecture delivered by Prof. Sergei V. Kalinin from the University of Tennessee. Delve into advanced concepts including reward-driven experimental workflow planning, domain-specific hyper languages, and the challenges of implementing deep learning methods in streaming image analysis. Learn about real-time image analysis techniques enabling spectroscopic experiments and atomic manipulation, while discovering how machine learning methods facilitate autonomous discovery through deep kernel learning. Examine the practical applications of these technologies in experimental discovery of edge plasmons in STEM/EELS, understanding the importance of explainable automated processes and human oversight. Gain insights into strategies for direct atomic fabrication using electron beams, with a focus on achieving specific structures and functionalities. Hosted by ICREA Prof. Jordi Arbiol at the Institut Català de Nanociència i Nanotecnologia, this comprehensive presentation bridges the gap between theoretical physics and practical atomic-level manufacturing capabilities.
