AI-QDM26: Artificial Intelligence and Quantum Dynamics for Memristor-System Computing |
Website | https://www.worldscientific.com/worldscibooks/10.1142/14011#t=aboutBook |
Submission link | https://easychair.org/conferences/?conf=aiqdm26 |
Poster | download |
Proposal submission (2–3 pages) | December 31, 2025 |
Notification of acceptance | January 31, 2026 |
Submission deadline | January 31, 2026 |
Full chapter submission | May 31, 2026 |
Peer-review feedback | July 31, 2026 |
Final manuscript due | August 31, 2026 |
Publication | October 31, 2026 |
About book
This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.
The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.
The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.
Contents:
- Introduction:
- Preface
- Introduction to the Main Topics
- Memristor Fundamentals:
- Theoretical Foundations of Memristors
- Memristor Models and Simulations
- Quantum Aspects of Memristors:
- Quantum Physics and Memristors
- Experimental Results and Applications
- Complex Behavior and Dynamics of Memristors:
- Nonlinear Dynamics of Memristors
- Chaos and Complex Memritive Systems
- AI and Memristors:
- Integrating AI and Memristor Systems
- AI-Driven Memristor Applications
- Future Research and Innovation:
- Future Directions in Memristor and AI Research
- Innovation and Practical Applications
- Conclusion:
- Summary and Future Perspectives
- Discussions and Open Questions
Readership: Graduate students, academics and researchers in the fields of computer science, artificial intelligence, electrical engineering and applied physics as well as professionals in tech innovation sectors.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.