£138.43

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£138 today · 30-day average £125 · all-time low £112

CRC Press Artificial Intelligence in Material Science: Advances

Amazon

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£138.44 £109.82 £116.06 £122.31 £128.55 £134.80 £141.04 27 July 2026 13 August 2026 30 August 2026 16 September 2026 04 October 2026
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Price distribution over 70 days • 3 price levels

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9 days 38 days 23 days · current 0 10 19 29 38 £112 £123 £138 Days at Price

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Most common price: £123 (38 days, 54.3%)

Price range: £112 - £138

Price levels: 3 different prices over 70 days

Description

Explore the transformative intersection of artificial intelligence and material science with this comprehensive guide from CRC Press. This work examines how machine learning, neural networks, and AI-driven computational methods are revolutionising the discovery, design, and optimisation of new materials. From accelerating research timelines to predicting material properties with unprecedented accuracy, AI technologies are reshaping how scientists develop everything from semiconductors to sustainable polymers. Whether you work in materials research, engineering, or related fields, this book provides essential insights into the practical applications, methodologies, and breakthroughs defining modern material science. Discover how computational intelligence is reducing experimentation costs, improving material performance, and opening pathways to innovations previously thought impossible.

Key Features

CRC Press publishes this comprehensive exploration of AI applications transforming contemporary material science research and development.

The book addresses machine learning algorithms and neural network approaches specifically designed for material property prediction and discovery.

Advanced topics cover computational methods that accelerate the identification and optimisation of new materials across multiple industries.

This resource bridges theoretical AI concepts with practical implementations in real-world material science laboratories and industrial settings.

The publication examines how artificial intelligence reduces experimental costs whilst improving the accuracy and speed of material characterisation.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 December 2024
Listed Since
05 September 2024

Barcode

No barcode data available

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