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Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors
We present a deep learning approach to extract physical parameters (e.g., mobility, Schottky contact barrier height, defect profiles) of two-dimensional (2D) transistors from electrical measurements, enabling automated parameter extraction and technology computer-aided design (TCAD) fitting. To faci
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