Di Ventra / Pershin Memristors and Memelements

Mathematics, Physics and Fiction
1. Auflage 2023
ISBN: 978-3-031-25625-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 62 Seiten, eBook

Reihe: SpringerBriefs in Physics

This book, written by two pioneers in the field, provides a clear and concise description of memristors and other memory elements. It stresses the difference between their mathematical definition and physical reality. The reader will then be able to distinguish between what is experimentally realizable and various fictitious claims that plague the scientific literature. The discussion is kept simple enough that the book should be easily accessible not only to graduate students and researchers in Physics and Engineering, but also to undergraduate students interested in this topic.

Zielgruppe

Graduate

Autoren/Hrsg.

Di Ventra, Massimiliano

Pershin, Yuriy V.

Inhaltsverzeichnis

Chapter 1. What's in a name? The beautiful, the bad, and the ugly In this introductory chapter we will provide the motivation for this book.- Chapter 2. Memory of physical systems In this chapter we will provide a physical definition of memory (time non-locality) and argue that any physical system subject to an external perturbation showcases some degree of memory, whether the latter is easy or not to detect.- Chapter 3. Mathematical definition of memory elements, ideal or not In this chapter we will provide the general definition of memory elements, such as memristors, memcapacitors, meminductors, etc.- Chapter 4. Restoring sanity: the memristor test.- Chapter 5. From now on In this concluding chapter we will summarize our thoughts on the field, and where it could go from here.

Über Autor(innen)

Massimiliano Di Ventra and Yuriy Pershin are both experts in the area of memristors and other memory elements (such as memcapacitors and meminductors). They started to work in this field in 2008, and have followed it since then. They introduced memcapacitors and meminductors together with Chua, experimentally demonstrated the first memristive neural network, and pioneered the use ofmemory elements in analog electronics and memcomputing. More recently, they introduced a memristor test that helps resolve the controversy about the discovery of the memristor. They have published over 60 papers on this topic which have garnered more than 6000 citations in total. MD has published four books: Introduction to Nanoscale Science and Technology, Springer, 2004; Electrical Transport in Nanoscale Systems, Cambridge University Press, 2008; The Scientific Method: Reflections from a Practitioner, Oxford University Press, 2018; and MemComputing: Fundamentals and Applications, OxfordUniversity Press, 2022.