Nanoinformatics [E-Book] / edited by Isao Tanaka.
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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Full text |
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Personal Name(s): | Tanaka, Isao, editor |
Imprint: |
Singapore :
Springer,
2018
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Physical Description: |
VIII, 298 pages 188 illustrations, 142 illustrations in color. online resource. |
Note: |
englisch |
ISBN: |
9789811076176 |
DOI: |
10.1007/978-981-10-7617-6 |
Subject (LOC): |
- 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.