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 lea...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025001335 |
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| author | Enrique Comesaña Julian G. Fernández Natalia Seoane Antonio García-Loureiro |
| author_facet | Enrique Comesaña Julian G. Fernández Natalia Seoane Antonio García-Loureiro |
| author_sort | Enrique Comesaña |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-57248cf9b735446ab9eba7008805b8a6 |
| institution | OA Journals |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-57248cf9b735446ab9eba7008805b8a62025-08-20T02:30:18ZengElsevierSoftwareX2352-71102025-05-013010216610.1016/j.softx.2025.102166MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilitiesEnrique Comesaña0Julian G. Fernández1Natalia Seoane2Antonio García-Loureiro3Escola Politécnica Superior de Enxeñaría, Universidade de Santiago de Compostela, Campus Terra, 27002 Lugo, Spain; Corresponding author.Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainCentro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainCentro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, SpainWe 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.http://www.sciencedirect.com/science/article/pii/S2352711025001335Semiconductor device modelingNanoelectronicsData processingMachine learningPythonPytorch |
| spellingShingle | Enrique Comesaña Julian G. Fernández Natalia Seoane Antonio García-Loureiro MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities SoftwareX Semiconductor device modeling Nanoelectronics Data processing Machine learning Python Pytorch |
| title | MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities |
| title_full | MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities |
| title_fullStr | MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities |
| title_full_unstemmed | MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities |
| title_short | MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities |
| title_sort | mlfompy a post processing tool for semiconductor tcad data with machine learning capabilities |
| topic | Semiconductor device modeling Nanoelectronics Data processing Machine learning Python Pytorch |
| url | http://www.sciencedirect.com/science/article/pii/S2352711025001335 |
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