Resistive Switching Systems for In-Memory Computation and Artificial Intelligence

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. 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. Copyright © IOP Publishing Ltd 2025. All rights, including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved. Online ISBN: 978-0-7503-6169-9 • Print ISBN: 978-0-7503-6167-5 © IOP Publishing Ltd 2025. All rights, are reserved.