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The Resource Nanoinformatics, edited by Isao Tanaka

Nanoinformatics, edited by Isao Tanaka

Editor
Contributor
Summary
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. This book is open access under a CC BY license
Language
eng
Work
Publication
Extent
1 online resource (VIII, 298 pages)
Contents
  • 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
Isbn
9789811076176
Instance
Label
Nanoinformatics
Title
Nanoinformatics
Statement of responsibility
edited by Isao Tanaka
Contributor
Editor
Subject
Language
eng
Summary
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. This book is open access under a CC BY license
Cataloging source
AZU
Dewey number
620.1/15
Illustrations
illustrations
Index
no index present
LC call number
TA418.9.N35
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Tanaka, Isao
http://library.link/vocab/subjectName
  • Materials science
  • Spectrum analysis
  • Chemistry, Physical and theoretical
  • Nanoscience
  • Nanostructures
  • Microscopy
  • Nanotechnology
  • Materials Science
  • Nanotechnology
  • Theoretical and Computational Chemistry
  • Nanoscale Science and Technology
  • Characterization and Evaluation of Materials
  • Spectroscopy/Spectrometry
  • Spectroscopy and Microscopy
  • Technology: general issues
  • Chemistry, Physical and theoretical
  • Materials science
  • Microscopy
  • Nanoscience
  • Nanostructures
  • Nanotechnology
  • Spectrum analysis
Label
Nanoinformatics, edited by Isao Tanaka
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
1021203347
Dimensions
unknown
Extent
1 online resource (VIII, 298 pages)
File format
multiple file formats
Form of item
online
Isbn
9789811076176
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-981-10-7617-6
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9789811076176
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1021203347
Label
Nanoinformatics, edited by Isao Tanaka
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
1021203347
Dimensions
unknown
Extent
1 online resource (VIII, 298 pages)
File format
multiple file formats
Form of item
online
Isbn
9789811076176
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-981-10-7617-6
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9789811076176
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1021203347

Subject

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