Machine Learning Prediction of Valence and Coordination from EELS Spectra of Iron Containing Compounds-Reference-Cited by-同舟云学术

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Machine Learning Prediction of Valence and Coordination from EELS Spectra of Iron Containing Compounds

Published:2022-08-01 Issue:S1 Volume:28 Page:3086-3087
ISSN:1435-8115
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Gleason Samuel P¹²,Lu Deyu³,Ciston Jim¹

Affiliation:

1. Molecular Foundry, Lawrence Berkeley National Laboratory National Center for Electron Microscopy Facility, , Berkeley, CA, United States

2. University of California Department of Chemistry, , Berkeley, CA, United States

3. Brookhaven National Laboratory Center for Functional Nanomaterials, , Upton, NY, United States

Publisher

Oxford University Press (OUP)

Subject

Instrumentation

Link

https://academic.oup.com/mam/article-pdf/28/S1/3086/48822760/mam3086.pdf

Reference7 articles.

1. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

2. Ferroelectricity in [111]-oriented epitaxially strained SrTiO3 from first principles

3. Supervised Machine-Learning-Based Determination of Three-Dimensional Structure of Metallic Nanoparticles

4. Database of ab initio L-edge X-ray absorption near edge structure

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