Machine Learning for Semiconductor Materials
暫譯: 半導體材料的機器學習
Gupta, Neeraj, Gupta, Rashmi, Yadav, Rekha
- 出版商: CRC
- 出版日期: 2025-08-21
- 售價: $6,240
- 貴賓價: 9.5 折 $5,928
- 語言: 英文
- 頁數: 208
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 103279688X
- ISBN-13: 9781032796888
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相關分類:
Machine Learning、半導體
海外代購書籍(需單獨結帳)
商品描述
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 the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices, analog and Radio Frequency (RF) behaviour of semiconductor devices with different materials.
Features:
- Focuses on the semiconductor materials and the use of machine learning to facilitate understanding and decision-making.
- Covers RF and noise analysis to formulate the frequency behaviour of semiconductor device at high frequency.
- Explores pertinent biomolecule detection method.
- Reviews recent methods in the field of machine learning for semiconductor materials with real-life application.
- Examines limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD software.
This book is aimed at researchers and graduate students in semiconductor materials, machine learning, and electrical engineering.
商品描述(中文翻譯)
《半導體材料的機器學習》研究了最近的機器學習技術和方法，以減少對技術計算機輔助設計（Technology Computer Aided Design, TCAD）的使用。它提供了各種機器學習算法，如回歸、決策樹、支持向量機和k-均值聚類等。本書還強調了半導體材料及其在多閘極設備中的應用，以及不同材料的半導體設備的模擬和射頻（Radio Frequency, RF）行為。
特色：
- 專注於半導體材料及機器學習的應用，以促進理解和決策。
- 涵蓋射頻和噪聲分析，以制定半導體設備在高頻下的頻率行為。
- 探索相關的生物分子檢測方法。
- 回顧半導體材料領域中機器學習的最新方法及其實際應用。
- 檢視現有半導體材料的限制及克服現有TCAD軟體限制的步驟。
本書旨在為半導體材料、機器學習和電機工程的研究人員及研究生提供參考。
作者簡介
Neeraj Gupta is an Associate Professor at Amity University Haryana with over 16 years of teaching experience. His expertise includes VLSI design, low-power and analog design, AI and embedded systems. He has published 40+ papers, two book chapters, one book and 12 patents and has received the Best Researcher and Best Teacher Award (2024).
Rashmi Gupta is an Assistant Professor at Amity University Haryana with 13+ years of experience. Her research interests include AI, software engineering and IoT. She has authored 20+ papers, two book chapters, one book and five patents.
Rekha Yadav is an Assistant Professor at DCRUST, Murthal. She specializes in semiconductor device modeling and VLSI design, with 15 years of experience, over 30 publications and four book chapters.
Sandeep Dhariwal is an Associate Professor at Alliance University, Bengaluru. With 14+ years of experience, he focuses on low-power CMOS and semiconductor modeling. He has published 40+ articles, three books and holds three patents.
Rajkumar Sarma is a Postdoctoral Researcher at the University of Limerick, Ireland. With 11+ years of experience, his research spans digital VLSI, FPGA prototyping and quantum architectures. He has 25+ publications, 15+ patents and two books.
作者簡介(中文翻譯)
Neeraj Gupta 是哈里亞納邦阿米提大學的副教授，擁有超過16年的教學經驗。他的專長包括 VLSI 設計、低功耗和類比設計、人工智慧 (AI) 及嵌入式系統。他已發表超過40篇論文、兩個書章、一部書籍及12項專利，並獲得最佳研究者及最佳教師獎（2024年）。
Rashmi Gupta 是哈里亞納邦阿米提大學的助理教授，擁有超過13年的經驗。她的研究興趣包括人工智慧 (AI)、軟體工程及物聯網 (IoT)。她已撰寫超過20篇論文、兩個書章、一部書籍及五項專利。
Rekha Yadav 是 DCRUST（穆爾塔爾）的助理教授。她專注於半導體器件建模和 VLSI 設計，擁有15年的經驗，發表超過30篇論文及四個書章。
Sandeep Dhariwal 是班加羅爾的聯盟大學副教授。擁有超過14年的經驗，他專注於低功耗 CMOS 和半導體建模。他已發表超過40篇文章、三本書籍並持有三項專利。
Rajkumar Sarma 是愛爾蘭利默里克大學的博士後研究員。擁有超過11年的經驗，他的研究涵蓋數位 VLSI、FPGA 原型設計及量子架構。他擁有超過25篇出版物、15項專利及兩本書籍。
