Nanoinformatics

Nanoinformatics

Tanaka, Isao

Springer Verlag, Singapore

01/2019

298

Mole

Inglês

9789811356612

15 a 20 dias

474

Descrição não disponível.
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.
Machine learning;Big data;Atomic resolution characterization;First-principles calculations;Nanomaterials synthesis;Open Access