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Progress in nanoinformatics and informational materials science

Published online by Cambridge University Press:  10 September 2018

Atsuto Seko ,
Kazuaki Toyoura ,
Shunsuke Muto ,
Teruyasu Mizoguchi  and
Scott Broderick
Atsuto Seko
Affiliation:
Department of Materials Science and Engineering, Kyoto University, Japan; seko@cms.mtl.kyoto-u.ac.jp
Kazuaki Toyoura
Affiliation:
Department of Materials Science and Engineering, Kyoto University, Japan; toyoura.kazuaki.5r@kyoto-u.ac.jp
Shunsuke Muto
Affiliation:
Institute of Materials and Systems for Sustainability, and Ultra-High Voltage Electron Microscopy Laboratory, Nagoya University, Japan; smuto@imass.nagoya-u.ac.jp
Teruyasu Mizoguchi
Affiliation:
Institute of Industrial Science, The University of Tokyo, Japan; teru@iis.u-tokyo.ac.jp
Scott Broderick
Affiliation:
Department of Materials Design and Innovation, University at Buffalo, The State University of New York, USA; scottbro@buffalo.edu
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Abstract

Data-centric approaches have become increasingly popular in materials science, also known as informational materials science. Nanostructures often play essential roles in materials properties. Nanoinformatics is an important subset of informational materials science and a powerful tool for characterization and design of nanostructures. It allows discovery of meaningful and useful information and patterns from experimental and theoretical data and databases. This article reviews progress in nanoinformatics and informational materials science. Data-centric approaches for materials property description, construction of interatomic potentials, discovery of new inorganic compounds, efficient characterization of ionic transport and interfacial structures, hyperspectral image data analysis, and design of catalytic nanoparticles are outlined.

Keywords

nanostructuregrain boundariestransmission electron microscopy (TEM)electron energy loss spectroscopy (EELS)catalytic

Information

Type
Data-Centric Science for Materials Innovation
Information
MRS Bulletin , Volume 43 , Issue 9: Data-Centric Science for Materials Innovation , September 2018 , pp. 690 - 695
Copyright
Copyright © Materials Research Society 2018 

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