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  1. Semi-supervised physics guided deep learning framework: An application in modeling of gallium nitride based high electron mobility transistors
  2. Multi-output deep learning model for simultaneous prediction of figure of merits (Ion, Gm, and Vth) of gallium nitride high electron mobility transistors