Dr. Ziatdinov’s research is directed primarily toward the synergy of theory, experiment, and machine learning for accelerated discoveries in the fields of materials science and nanoscience. He is particularly interested in developing physics-based machine learning approaches for automatic reading/recognition of complex molecular, atomic and electronic patterns from scanning probe and electron microscopy experiments on various nanoscale systems and in machine learning-enabled “smart” automation of imaging and spectroscopic instrumentation.
