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Gupta N. Machine Learning for Semiconductor Materials 2025

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Gupta N. Machine Learning for Semiconductor Materials 2025 (Size: 14 MB)
  Gupta N. Machine Learning for Semiconductor Materials 2025.pdf 14 MB

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Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials

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