MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities
We present MLFoMpy, a Python package for post-processing data from semiconductor device simulations. The software automatically extracts key figures of merit from current–voltage curves of field effect transistor and calculates statistical analyses for these curves. MLFoMpy also includes machine learning tools to predict figures of merit and current–voltage curves for devices with intrinsic variability. Additionally, it offers data visualization tools to plot current–voltage curves and statistical graphs.
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Publicación: Artículo
1746526230414
6 de mayo de 2025
/research/publications/mlfompy-a-post-processing-tool-for-semiconductor-tcad-data-with-machine-learning-capabilities
We present MLFoMpy, a Python package for post-processing data from semiconductor device simulations. The software automatically extracts key figures of merit from current–voltage curves of field effect transistor and calculates statistical analyses for these curves. MLFoMpy also includes machine learning tools to predict figures of merit and current–voltage curves for devices with intrinsic variability. Additionally, it offers data visualization tools to plot current–voltage curves and statistical graphs. - Enrique Comesaña, Julian G Fernández, Natalia Seoane, Antonio García-Loureiro - 10.1016/j.softx.2025.102166
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