£138.44

CRC Press Machine Learning for Semiconductor Materials - CRC Press

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£138.44 £120.72 £124.59 £128.45 £132.32 £136.18 £140.05 09 July 2026 30 July 2026 20 August 2026 10 September 2026 02 October 2026

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4 days 45 days 37 days · current 0 11 23 34 45 £122 £130 £138 Days at Price

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Most common price: £130 (45 days, 52.3%)

Price range: £122 - £138

Price levels: 3 different prices over 86 days

Description

Machine Learning for Semiconductor Materials explores the intersection of artificial intelligence and materials science, offering comprehensive coverage of computational methods for analysing and optimising semiconductor behaviour. This volume from CRC Press addresses emerging technologies and materials through machine learning approaches, providing researchers, engineers, and academics with practical frameworks for predicting material properties, accelerating discovery cycles, and improving device performance. The text covers algorithmic strategies tailored to semiconductor applications, including data preprocessing, model development, and validation techniques specific to materials characterisation. Ideal for professionals in materials science, solid-state physics, and computational chemistry who seek to leverage machine learning for advancing semiconductor innovation and understanding complex material systems.

Key Features

CRC Press publication delivering expert-level content on machine learning applications within semiconductor materials research and development.

Covers emerging materials and technologies, providing current methodologies for computational analysis of semiconductor behaviour and properties.

Combines machine learning theory with practical semiconductor applications, helping professionals accelerate materials discovery and optimisation.

Designed for researchers, engineers, and academics working in materials science, solid-state physics, and computational semiconductor development.

Addresses both algorithmic strategies and real-world implementation of artificial intelligence in semiconductor characterisation and prediction.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 August 2025
Listed Since
25 February 2025

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