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.
