Overview
- Focuses on the state-of-the-art in computational techniques for the design of next-generation battery materials
- Covers materials for futuristic battery concepts such as Mg- and Na-based batteries
- Presents a timely survey of this rapidly growing and societally important field
Part of the book series: Topics in Applied Physics (TAP, volume 150)
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Keywords
- Machine Learning for Batteries
- Cathode Materials Simulation
- Density Functional Theory
- Ion Intercalation
- Transport Properties of Battery Materials
- Simulation of Solid-Electrolyte Interfaces
- Modeling of Ionic Diffusion
- 2D Materials for Energy Storage
- Modeling of Na-Ion Batteries
- Nanoscale Modeling of Batteries
- Crystal Structure of Battery Materials
About this book
This book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, prediction, and design of high-performance battery materials. Rechargeable batteries have become one of the most important technologies supporting the global transition from fossil fuels to renewable energy sources. Aided by the growth of high-performance computing and machine learning technologies, computational methods are being applied to design the battery materials of the future and pave the way to a more sustainable energy economy.
In this contributed collection, leading battery material researchers from across the globe share their methods, insights, and expert knowledge in the application of computational methods for battery material design and interpretation. With chapters featuring an array of computational techniques applied to model the relevant properties of cathodes, anodes, and electrolytes, this book provides the ideal starting point for any researcher looking to integrate computational tools in the development of next-generation battery materials and processes.
Editors and Affiliations
About the editor
Dorian Amir Henry Hanaor is a British, Israeli, Australian and German scientist, engineer and educator who has accumulated over 16 years of multi-faceted expertise in the field of materials engineering across roles in the private sector, education, R&D and consulting. Dorian’s unique approach to education and research involves leveraging effective cross-disciplinary integration to create new insights and knowledge in diverse engineering topics, with his work having been cited over 7,000 times in the academic literature. In recent years Dorian has led experimental and computational studies into the design optimization of innovative battery materials for lithium and post-lithium-ion batteries and has served as a consultant for sustainable materials sourcing projects.
Bibliographic Information
Book Title: Computational Design of Battery Materials
Editors: Dorian A. H. Hanaor
Series Title: Topics in Applied Physics
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-47302-9Due: 24 June 2024
Softcover ISBN: 978-3-031-47305-0Due: 24 June 2024
eBook ISBN: 978-3-031-47303-6Due: 24 June 2024
Series ISSN: 0303-4216
Series E-ISSN: 1437-0859
Edition Number: 1
Number of Pages: X, 590
Number of Illustrations: 5 b/w illustrations, 232 illustrations in colour