Keisuke Fujii Senior R&D Scientist Contact FUJIIK@ORNL.GOV All Publications Machine learning aided line intensity ratio method for helium–hydrogen mixed recombining plasmas Experimental validation of a collision-radiation dataset for molecular hydrogen in plasmas Conceptual design of a Doppler spectrometer for 102 m/s cross-field flows in tokamak divertors... Plasma-parameter dependence of ro-vibrational temperatures for H2 in LHD divertor Application of machine learning for optical emission spectroscopy data in NAGDIS-II Collisional-energy-cascade model for nonthermal velocity distributions of neutral atoms in plasmas Atomic and ionic hydrogen flux probe for quantitative in-situ monitoring of hydrogen recycling A simple data-driven level finding method of many-electron atoms and heavy nuclei based on statistical outlier detection* Use of machine learning for a helium line intensity ratio method in Magnum-PSI Key Links