Maxim A Ziatdinov
Maxim 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. Maxim is particularly interested in developing physics-based machine learning approaches for analyzing complex molecular, atomic, and electronic patterns from scanning probe and electron microscopy experiments on classical and quantum materials. He is also very excited about the development of the machine learning-enabled “smart” automation of imaging and spectroscopic instrumentation. He received his Ph.D. in materials science and engineering from the Tokyo Institute of Technology in 2014, followed by a postdoctoral appointment at the Center for Nanophase Materials Science in Oak Ridge National Laboratory.