IOP Book: Resistive Switching Systems for In-Memory Computation and AI
Includes fundamental theoretical concepts as well as materials and device properties, physical and analytical modeling, algorithmic aspects, circuits, and architectures
This is a Press Release edited by StorageNewsletter.com on January 21, 2026 at 2:00 pmIOP Publishing Ltd. had published a book on Resistive Switching Systems for In-Memory Computation and AI.
Abstract: “This book provides a detailed review on neuromorphic system theory and its practical realization along with hardware-level implementations. It 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. Part of IOP Series in Next Generation Computing.“
Author: Shaibal Mukherjee, Professor, Department of Electrical Engineering and Centre for Advanced Electronics, Indian Institute of Technology Indore, Khandwa Road, Simrol, Madhya Pradesh 453552, India, and director and co-founder, QuanTechL2M Innovations Pvt. Ltd., Indore, Madhya Pradesh, India.
Published: January 2026 – 297pp
Online ISBN: 978-0-7503-6169-9 • Print ISBN: 978-0-7503-6167
Key features:
- Includes fundamental theoretical concepts as well as materials and device properties, physical and analytical modeling, 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
Free to read: Introduction to resistive switching devices by Shaibal Mukherjee






