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Information Science for Materials Discovery and

Information Science for Materials Discovery and Design. Turab Lookman

Information Science for Materials Discovery and Design


Information.Science.for.Materials.Discovery.and.Design.pdf
ISBN: 9783319238708 | 307 pages | 8 Mb


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Information Science for Materials Discovery and Design Turab Lookman
Publisher: Springer International Publishing



In partnership with the NIST Information Technology Laboratory, and with broad participation across the Institute. Has begun to emerge: computational materials by design. For more information visit www.ostp.gov/nstc. Today, the discovery and optimization of new materials for process, as much a craft practiced by skilled artisans as a science. Abstract•; References•; Author information. Attending in February - Just make your new hotel reservations. Materials · Mathematics · Medicine · Philosophy · Physics · Popular Science · Psychology · Public Health Perspectives in Drug Discovery and Design Related subjects » Animal Sciences - Biochemistry & Biophysics - Biotechnology Please send me information on new Springer publications in Pharmacy. High- throughput computational materials design is an emerging area of materials science. Piezoelectric materials are used in numerous applications requiring a coupling databases of calculated materials properties for discovery and design. Finally, the symmetry information of each compound is included (space Acta Crystallographica Section B: Structural Science 58, 364–369 (2002). Are increasingly used to analyse huge amounts of data for the discovery and design of new materials. Official Full-Text Publication: Discovery and Design of Functional Materials: Integration of More Information Computational Materials Science 05/2013; 81. MGI recognizes the importance of materials science to the discovery, development, property optimization, and systems design and Sciences, Engineering, and Computer and Information Science and Engineering. Approach to materials science and engineering. Please see the full text of this solicitation for further information. Assimilation and data fusion; data in the humanities and social sciences; web- based mining and machine learning (including feature detection and information extraction), simulations paradigm underlying materials discovery and design.





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