main webpage W Topic Practice (Learning Method) arXiv (Cornell University) Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors 2025 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 comp… Article Open Practice (Learning Method) Open Article Page

Practice (Learning Method)

Act of rehearsing a behaviour repeatedly Practice is the act of rehearsing a behavior repeatedly, to help learn and eventually master a skill. Sessions scheduled for the purpose of rehearsing and performance improvement are called practices . They are engaged in by sports teams, bands, individuals, etc., as in, "He went to football practice every day after school". In British English, practice is the noun and practise is the verb, but in American English it is now common for practice to be used both as a noun and a verb (see American and British English spelling differences; this article follows American conventions). … Critical Symbolic Virtual Narrative Open Practice (Learning Method) Open Article Page

Exploring foci of: arXiv (Cornell University) Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors 2025 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 facilitate this task, we implement a simple data augmentation and pre-training approach by training a secondary neural network to approximate a physics-based device simulator. This method enables high-quality fits after tra… Open Article Page

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Explore Practice (Learning Method) W Topic Practice (Learning Method) arXiv (Cornell University) Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors 2025 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 comp… Article Critical Symbolic Virtual Narrative Open Practice (Learning Method) Open Article Page