Ef cient numerical simulation of atmospheric pulsed discharges by introducing deep learning

HIGHLIGHTS

• who: January and colleagues from the Huazhong University of Science and Technology, China have published the Article: Ef cient numerical simulation of atmospheric pulsed discharges by introducing deep learning, in the Journal: (JOURNAL)
• what: In this study, the training datasets are calculated from the fluid model, then the DNN is trained against these data and eventually applied to make new predictions. In this paper, a deep learning-based method is developed to investigate the discharge characteristics in pulsed discharges controlled by dielectric barriers at atmospheric pressure.
• how: In this study the numerical model . . .
  

   

  

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