
Resistive Switching Systems for In-Memory Computation and Artificial Intelligence
Shaibal Mukherjee(Author)
Institute of Physics Publishing
Published on 6. January 2026
Book
Paperback/Softback
296 pages
978-0-7503-6170-5 (ISBN)
Description
This book provides a detailed review on neuromorphic system theory and its practical realization along with hardware-level implementations. This book will allow readers to understand the new fundamental concepts related to memristive systems and their ongoing and futuristic applications. In summary, this is a comprehensive description of emerging memristor memory technology with its fundamentals, behaviour modeling, physical modeling and potential applications. This book will facilitate classroom adaptations, and its content makes it suitable for advanced diploma, under-graduate and post-graduate courses in various universities.
Key Features:
- Includes fundamental theoretical concepts as well as materials and device properties, physical and analytical modelling, algorithmic aspects, circuits, and architectures.
- Encompasses a broad range of applications such as brain-inspired computing, in-memory computation tasks, logic circuit realization and image computation and processing.
- Interdisciplinary approach embracing material science, VLSI circuit and systems, electrical and computer engineering, mathematics and physics.
More details
Language
English
Place of publication
Bristol
United Kingdom
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 16 mm
Weight
517 gr
ISBN-13
978-0-7503-6170-5 (9780750361705)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
01/2026
Institute of Physics Publishing
€156.99
Available for download