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Informationen zum Autor Krishna Rajan is the SUNY Distinguished Professor and Erich Bloch Chair of the Department of Materials Design and Innovation (MDI) at the University at Buffalo; with a joint appointment as Chief Scientist in the Energy Processes and Materials Division at Pacific Northwest National Laboratory (PNNL). He has pioneered the field of Materials Informatics and data driven discovery in materials science and engineering and its impact on characterization, processing, and modeling of materials. He has received numerous recognitions including the Alexander von Humboldt Award from Germany, the CSIRO- Australia Distinguished Visiting Scientist Award, the CNRS Visiting Professorship from France and the Presidential Lecture Award from the National Institute of Materials Science, Japan. Dr Rajan received his undergraduate degree in Metallurgy and Materials Science from the University of Toronto followed by a doctorate in Materials Science from MIT with a minor in Science and Technology policy. He subsequently held post-doctoral appointments at MIT and Cambridge University. He was a staff scientist at the National Research Council of Canada, followed by faculty positions at Rensselaer Polytechnic Institute and Iowa State University before coming to the University at Buffalo as the founding chair of the MDI department. It is the first department that has its research and curriculum built around an informatics perspective of materials science and engineering. Klappentext Materials informatics, a "hot topic" area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis.The discovery and maturation of new materials have been outpaced by the thicket of data created by new combinatorial and high throughput analytical techniques. The elaboration of this "quantitative avalanche"--and the resulting complex, multi-factor analyses required to understand it--means that interest, investment and research are revisiting informatics approaches as a solution.The work, from Krishna Rajan, the leading exponent of the informatics approach to materials, seeks to break down the barriers among data management, quality standards, data mining, exchange, storage and analysis as a means of accelerating scientific research in materials science.This solutions-based reference synthesizes foundational physical, statistical and mathematical content with emerging experimental and real-world applications for interdisciplinary researchers and those new to the field.Synthesizes foundational physical, statistical, and mathematical content with emerging experimental and real-world applications, for interdisciplinary researchers and those new to the field. This title identifies and analyzes strategies that accelerate materials development cycle times and reduces associated costs....
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"The first half of the volume sets out foundational aspects of data science, and the second half surveys applications in materials science using a case-study approach. The topics include novel approaches to statistical learning in materials science, data dimensionality reduction in materials science,.. high-performance computing for accelerated zeolitic materials modeling, and using multivariate analysis to answer questions concerning the conservation of artworks and cultural heritage materials." --Reference & Research Book News, December 2013
