Faculty of Science and Technology

Keren Lin

  (林 珂任)

Profile Information

Affiliation
Assistant Professor, Faculty of Science and Technology Department of Science and Technology , Seikei University
Degree
Doctor of Engineering(Sep, 2023, Tokyo Institute of Technology (now Institute of Science Tokyo))
Master of Engineering(Sep, 2020, Tokyo Institute of Technology (now Institute of Science Tokyo))

ORCID ID
 https://orcid.org/0000-0001-9806-0009
J-GLOBAL ID
202501018235487372
researchmap Member ID
R000094206

Papers

 6
  • Wataru Kikuchi, Jun Enomoto, Keren Lin, Tomoya Taguchi, Atsushi Nezu, Hiroshi Akatsuka
    Journal of Physics D: Applied Physics, Apr 17, 2026  
  • Keren Lin, Shinji Yoshimura, Michael K. T. Mo, Wataru Kikuchi, Yuya Yamashita, Jun Enomoto, Motoshi Goto, Hiroshi Akatsuka, Takayoshi Tsutsumi
    Japanese Journal of Applied Physics, Jan 30, 2026  
    <jats:title>Abstract</jats:title> <jats:p>The discharge behavior of a helium atmospheric-pressure plasma jet in a 10 mm diameter tube was investigated under various electrode configurations using optical emission spectroscopy, voltage–current characteristics, and electrostatic simulations. The results indicate that the discharge mechanisms differ above and below the ground electrode: the upstream region is mainly initiated by electron avalanches and involves a transient DC-glow-like discharge, whereas the downstream region is dominated by photoionization-assisted streamer propagation. Floating electrodes and insulating tape significantly modify the electric field distribution, influencing local electron dynamics, metastable transport, and plume characteristics. With a larger tube radius and Peltier-based gas pre-cooling, the developed system can generate a stable, relatively cold plasma plume, suggesting potential for localized surface treatment and biomedical applications.</jats:p>
  • Keren Lin, Thijs van der Gaag, Wataru Kikuchi, Hiroshi Akatsuka, Motoshi Goto
    Applied Physics Letters, Jun 3, 2024  
  • Keren Lin, Atsushi Nezu, Hiroshi Akatsuka
    Japanese Journal of Applied Physics, Sep 1, 2023  
    <jats:title>Abstract</jats:title> <jats:p>An algorithm for diagnosing the electron density and temperature of helium plasma at atmospheric pressure has been developed based on a revised helium collisional-radiative (CR) model. Atomic collision processes are included, and part of the atomic data of electron collision processes in the conventional CR model has been updated to expand its valid pressure. The algorithm uses eight emission lines in the visible-wavelength range as inputs to determine the electron density, electron temperature, and number density of the two metastable states by fitting the number density of the states corresponding to the emission lines. The algorithm has a considerably small theoretical error. In the microwave-discharged low-pressure helium plasma experiment, the results obtained with the algorithm agreed well with the results obtained with the probe method. The electron density and temperature of the atmospheric-pressure helium plasma obtained with the algorithm agreed well with the results of the continuum spectrum analysis.</jats:p>
  • Keren Lin, Motoshi Goto, Hiroshi Akatsuka
    Atoms, Jun 8, 2023  
    <jats:p>In this study, eight emission lines in the visible wavelength range of neutral helium were used to diagnose the electron density and temperature of the Large Helical Device (LHD) helium plasma instead of the conventional three-line method. The collisional-radiative (CR) model for low-pressure helium plasma was revised to include the optical escape factors for spontaneous transition from the n1P states to the ground state so that the influence of the absorption effect under optically thick conditions could be considered. The developed algorithm was based on fitting the number densities of eight excited states obtained using optical emission spectroscopy (OES). The electron density, electron temperature, ground-state density, and optical escape factors were selected as the fitting parameters. The objective function was set as the summation of the residual errors between the number densities measured in the experiment and those calculated using the revised model. A regularization term was introduced for the optical escape factor and optimized through bias and variance analyses. The results show that the agreement between the number density calculated by the algorithm and its counterpart measured in the experiment was generally improved compared to the method using three lines.</jats:p>