Machine Learning for Semiconductor Materials

Language: English

Published by CRC Press Aug 2025, 2025

103279688X / 9781032796888

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 226 pp. Englisch.

Seller Inventory # 9781032796888

Title
Machine Learning for Semiconductor Materials
Author
Neeraj Gupta
Publisher
CRC Press Aug 2025
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
103279688X
ISBN 13
9781032796888
Item weight
508 grams
Dimensions
240x161x17 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany