Machine Learning for Semiconductor Materials
Inbunden, Engelska, 2025
Av Neeraj Gupta, Rashmi Gupta, Rekha Yadav, Sandeep Dhariwal, Rajkumar Sarma
2 479 kr
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Fri frakt för medlemmar vid köp för minst 249 kr.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.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering.
Produktinformation
- Utgivningsdatum2025-08-21
- Mått156 x 234 x 17 mm
- Vikt580 g
- FormatInbunden
- SpråkEngelska
- SerieEmerging Materials and Technologies
- Antal sidor208
- FörlagTaylor & Francis Ltd
- ISBN9781032796888