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Nanoinformatics

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...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Tanaka, Isao (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Konular:
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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-pressurephase.-13.Synthesis and structures of novel solid-state electrolytes.