Modelling Methodologies in Analogue Integrated Circuit Design

by G nhan D ndar (Editor), Mustafa Berke Yelten (Editor)

Overview

Modelling Methodologies in Analogue Integrated Circuit Design provides a holistic view of modelling for analogue, high frequency, mixed signal, and heterogeneous systems for designers working towards improving efficiency, reducing design times, and addressing the challenges of representing aging, variability, and other technical challenges at the nanometre scale.

The book begins by introducing the concept, history, and development of circuit design up to the present day. The first half of the book then covers various modelling methodologies and addresses model accuracy and verification. Modelling approaches are introduced theoretically along with simple examples to demonstrate the concepts. Later chapters approach modelling from the application point of view, including case studies from the vast domain of integrated circuit design.

Topics covered include response surface modeling; machine learning; data-driven and physics-based modeling; verification of modelling: metrics and methodologies; an overview of modern, automated analog circuit modeling methods; machine learning techniques for the accurate modeling of integrated inductors for RF applications; modeling of variability and reliability in analog circuits; modeling of pipeline ADC functionality and non-idealities; power systems modelling; case study - an efficient design and layout of a 3D accelerometer by automated synthesis; and sensing schemes for spintronic resistive memories.

Product Details

ISBN-13:	9781785616952
Publisher:	The Institution of Engineering and Technology
Publication date:	04/03/2020
Series:	Materials, Circuits and Devices
Pages:	320
Product dimensions:	6.14(w) x 9.21(h) x (d)

About the Author

Günhan Dündar is a full professor in the department of electrical and electronic engineering, Bogazici University, Turkey. He has authored and co-authored more than 200 international journal and conference papers in the broad area of circuits and systems, as well as one book and one book chapter. He is also the recipient of several research awards. His research interests lie in the design of, and design methodologies for analogue integrated circuits.

Mustafa Berke Yelten is an assistant professor in the department of Electronics and Communications Engineering, Istanbul Technical University, Turkey. He previously worked as a quality and reliability research engineer in Intel Corporation between 2011 and 2015. As a senior member of IEEE, he has been a technical program committee member of several IEEE conferences. His research interests include the design, optimization, and modeling of nanoscale transistors and the design of analog/RF integrated circuits.

Table of Contents

• Chapter 1: Introduction
• Part I: Fundamentals of modelling methodologies
  • Chapter 2: Response surface modeling
  • Chapter 3: Machine learning
  • Chapter 4: Data-driven and physics-based modeling
  • Chapter 5: Verification of modeling: metrics and methodologies
• Part II: Applications in analogue integrated circuit design
  • Chapter 6: An overview of modern, automated analog circuit modeling methods: similarities, strengths, and limitations
  • Chapter 7: On the usage of machine-learning techniques for the accurate modeling of integrated inductors for RF applications
  • Chapter 8: Modeling of variability and reliability in analog circuits
  • Chapter 9: Modeling of pipeline ADC functionality and nonidealities
  • Chapter 10: Power systems modelling
  • Chapter 11: A case study for MEMS modelling: efficient design and layout of 3D accelerometer by automated synthesis
  • Chapter 12: Spintronic resistive memories: sensing schemes
  • Chapter 13: Conclusion