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Modelling Methodologies in Analogue Integrated Circuit Design

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Editors: Günhan Dündar 1 ; Mustafa Berke Yelten 2
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Publication Year: 2020

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; odeling 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.

Inspec keywords: magnetoresistive devices; three-dimensional integrated circuits; integrated circuit reliability; magnetoelectronics; analogue integrated circuits; power system simulation; integrated circuit modelling; micromechanical devices; integrated circuit layout; inductors; analogue-digital conversion; learning (artificial intelligence); electronic design automation; accelerometers

Other keywords: automated synthesis; modelling methodologies; MEMS modelling; reliability modelling; analogue integrated circuit design; integrated inductors modeling; automated analog circuit modeling; modeling verification; machine learning; data-driven modeling; physics-based modeling; RF applications; 3D accelerometer layout; power systems modelling; variability modelling; pipeline ADC functionality modelling; spintronic resistive memories; sensing schemes; response surface modeling

Subjects: Semiconductor integrated circuit design, layout, modelling and testing; General electrical engineering topics; Sensing devices and transducers; Power engineering computing; General and management topics; Magneto-acoustic, magnetoresistive, magnetostrictive and magnetostatic wave devices; Digital circuit design, modelling and testing; A/D and D/A convertors; Analogue circuit design, modelling and testing; Analogue circuits; Reliability; Design and modelling of MEMS and NEMS devices; Computer-aided circuit analysis and design; Power systems; A/D and D/A convertors; Electronic engineering computing; Neural computing techniques; Inductors and transformers

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