Springer Memristor Computing Systems

This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. The book studies and addresses related challenges in and proposes solutions for the future of memristor computing. State-of-the-art research on memristor modeling, memristive interconnections, memory circuit architectures, software simulation tools, and applications of memristors in computing are presented. Utilising contributions from numerous experts in the field, written in clear language and illustrated throughout, this book is a comprehensive reference work. Memristor Computing Systems explains memristors and memristive devices in an accessible way for graduate students and researchers with a basic knowledge of electrical and control systems engineering, as well as prompting further research for more experienced academics. From the Back Cover This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. The book studies and addresses related challenges in and proposes solutions for the future of memristor computing. State-of-the-art research on memristor modeling, memristive interconnections, memory circuit architectures, software simulation tools, and applications of memristors in computing are presented. Utilising contributions from numerous experts in the field, written in clear language and illustrated throughout, this book is a comprehensive reference work. Memristor Computing Systems explains memristors and memristive devices in an accessible way for graduate students and researchers with a basic knowledge of electrical and control systems engineering, as well as prompting further research for more experienced academics. About the Author Leon Chua received his MSc degree from the MIT in 1961 and his Ph.D. in 1964 from the University of Illinois at Champaign-Urbana. He became an Assistant Professor of Electrical Engineering at Purdue University in 1964, and was promoted to Associate Professor in 1967. He joined the UC Berkeley in 1970. He is the first recipient of the 2005 Gustav Kirchhoff Award, the highest IEEE Technical Field Award for outstanding contributions to the fundamentals of any aspect of electronic circuits and systems that has a long term significance or impact. He was also awarded the prestigious IEEE Neural Networks Pioneer Award in 2000 for his contributions in neural networks. He was elected a Fellow of the IEEE in 1974 and has received many international prizes, including the IEEE Browder J. Thompson Memorial Prize in 1972, the IEEE W. R. G. Baker Prize in 1978, the Frederick Emmons Award in 1974, the M. E. Van Valkenhurg Award in 1995, and again in 1998. He was awarded 7 USA patents and 8 Honorary doctorates (Doctor Honoris Causa) from major European universities and Japan. He is also a recipient of the top 15 cited authors in Engineering award in 2002, chosen from the Current Contents (ISI) database of all cited papers in the engineering disciplines in the citation index from 1991 to October 31, 2001, from all branches of engineering. He was elected a foreign member of the European Academy of Sciences (Academia Europea) in 1997. Ronald Tetzlaff is a Full Professor of Fundamentals of Electrical Engineering at the Technische Universität Dresden, Germany. His scientific interests include problems in the theory of signals and systems, stochastic processes, physical fluctuation phenomena, system modelling, system identification, Volterra systems, Cellular Nonlinear Networks, and Memristive Systems. From 1999 to 2003 Ronald Tetzlaff was Associate Editor of the IEEE, Transactions on Circuits and Systems: part I. He was "Distinguished Lecturer" of the IEEE CAS Society (2001-2002). He is a member of the scientific committee of diff