
Computational Design of Battery Materials (Topics in Applied Physics, 150)
by: Dorian A. H. Hanaor (Editor)
Publisher: Springer
Edition: 2024th
Publication Date: 2024/7/5
Language: English
Print Length: 597 pages
ISBN-10: 3031473027
ISBN-13: 9783031473029
Book Description
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.
About the Author
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. Read more
Computational Design of Battery Materials (Topics in Applied Physics, 150)
相关推荐
Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python
The Oxford Handbook of European Romanticism
Context Engineering for Verified Output: Master Getting Verified Consistent Output Through Example Stories
Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms
High Performance Polymers
The Comprehensive DevOps Interview Guide: Mastering DevOps systems for your successful interview
Speaking in the Medieval World
High Performance Polymers 2nd Edition
电子书百科大全
评论前必须登录!
立即登录 注册