£163.49

Springer Computational Design of Battery Materials - Topics in Applied Physics 150

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£167.96 £162.06 £163.35 £164.64 £165.92 £167.21 £168.50 09 July 2026 14 July 2026 19 July 2026 24 July 2026 29 July 2026

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Description

This Springer volume delivers a comprehensive survey of computational methods applied to battery material interpretation, prediction, and design. As rechargeable batteries become essential for the global shift from fossil fuels to renewable energy, computational approaches powered by high-performance computing and machine learning are transforming how researchers develop next-generation battery materials. The book explores diverse methodologies that enable scientists to model material behaviour, forecast performance outcomes, and engineer solutions for improved energy density, cycle life, and sustainability. Written by leading experts, this contributed volume bridges theory and practical application, offering researchers, engineers, and academics essential insights into the computational techniques reshaping battery technology and supporting the transition to a more sustainable energy economy.

Key Features

Topics in Applied Physics series volume 150 from Springer provides peer-reviewed research on computational battery material design.

Covers diverse computational methods including high-performance computing approaches for battery material prediction and optimisation.

Integrates machine learning technologies to accelerate discovery and design of high-performance battery materials.

Addresses rechargeable battery development supporting renewable energy transition and sustainable energy applications.

Contributed volume format featuring expert authors advancing computational materials science for next-generation batteries.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 July 2024
Listed Since
22 September 2023

Barcode

No barcode data available

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