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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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Subjects: | |
| Online Access: | Link to Metadata |
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Table of 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-pressurephase.-13.Synthesis and structures of novel solid-state electrolytes.