Computational Design of Battery Materials
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Beschreibung
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.
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.
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
Autor*in
Dorian A. H. Hanaor
Themen in »Computational Design of Battery Materials«
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