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.

Autorentext

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.