A one-stop source on recent advances in the application of data mining to materials science, this book provides an up-to-date overview of the latest software and tools. Clearly structured and divided into two parts, the first focuses on current progress in data mining and machine learning for materials science, while the second part addresses developments in software, databases and high-throughput computational activities. Successful case studies illustrate the power of materials informatics in guiding the experimental discovery of novel materials. A practical approach is maintained throughout, with hints on how to use already existing databases of materials' properties and an accompanying website with interactive applications. A must-have for material scientists, chemists and engineers interested in these time-saving methods.weiterlesen