Nanoinformatics
著者
書誌事項
Nanoinformatics
Springer, c2018
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
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  オランダ
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注記
Includes bibliographical references
内容説明・目次
内容説明
This open access book brings out the state of the art on how informatics-based tools are used and expected to be used in nanomaterials research. There has been great progress in the area in which "big-data" generated by experiments or computations are fully utilized to accelerate discovery of new materials, key factors, and design rules. Data-intensive approaches play indispensable roles in advanced materials characterization. "Materials informatics" is the central paradigm in the new trend. "Nanoinformatics" is its essential subset, which focuses on nanostructures of materials such as surfaces, interfaces, dopants, and point defects, playing a critical role in determining materials properties. There have been significant advances in experimental and computational techniques to characterize individual atoms in nanostructures and to gain quantitative information. The collaboration of researchers in materials science and information science is growing actively and is creating a new trend in materials science and engineering.
目次
1. Descriptors for Machine Learning of Materials Data.- 2. Potential Energy Surface Mapping of Charge Carriers in Ionic Conductors Based on a Gaussian Process Model.- 3. Machine learning predictions of factors affecting the activity of heterogeneous metal catalysts.- 4. Machine Learning-based Experimental Design in Materials Science.- 5. Persistent homology and materials informatics.- 6. Polyhedron and Polychoron codes for describing Atomic Arrangements.- 7. Topological Data Analysis for the Characterization of Atomic Scale Morphology from Atom Probe Tomography Images.- 8. Atomic-scale nanostructures by advanced electron microscopy and informatics.- 9. High spatial resolution hyperspectral imaging with machine-learning techniques.- 10. Fabrication, Characterization, and Modulation of Functional Nanolayers.- 11. Grain Boundary Engineering of Alumina Ceramics.- 12. Structural relaxation of oxide compounds from the high-pressure phase.-13.Synthesis and structures of novel solid-state electrolytes.
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