£170.87

Springer Computational Design of Battery Materials Book

Name: Springer Computational Design of Battery Materials Book
Brand: Springer
Price: 146.45 GBP
Availability: InStock

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Description

Explore the intersection of high-performance computing and energy storage with this essential text from Springer. As the global transition from fossil fuels to renewable energy sources accelerates, the need for advanced rechargeable battery technology becomes more urgent. This book provides a comprehensive survey of current computational methods used to interpret, predict, and design high-performance battery materials. By leveraging the latest advancements in machine learning and high-performance computing, researchers can now accelerate the discovery of next-generation materials. This volume examines how these digital tools pave the way toward a sustainable energy economy. It is an important resource for those studying the application of diverse computational methods to solve modern energy challenges and design the battery technologies of the future.

Key Features

Provides a detailed survey of state-of-the-art computational methods for battery material design.

Explores the application of machine learning technologies to predict high-performance material properties.

Discusses the role of high-performance computing in advancing renewable energy technologies.

Supports the global transition to sustainable energy by focusing on rechargeable battery innovation.

Analyzes how computational tools can help interpret complex material behaviors for future design.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3031473027
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 05 July 2024
Listed Since: 22 September 2023

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Springer Computational Design of Battery Materials Book

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