George Nishibuchi

George Nishibuchi is a researcher in materials science and DL. He has a background in computational materials science, with experience running over 50,000 Density Functional Theory simulations at Purdue University’s Network for Computational Nanotechnology, including phonon studies of infrared transparent ceramics, high-throughput studies of semiconductors, and mechanistic studies in solid-state electrolytes. He has also contributed to research in neuromorphic learning algorithms for network intrusion detection systems. Mr. Nishibuchi has an M.S. in materials engineering from Purdue University.