Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Mechanics of Materials,General Materials Science,Modelling and Simulation
Link
http://www.nature.com/articles/s41524-019-0176-1.pdf
Reference51 articles.
1. Lookman, T., Alexander, F. J. & Rajan, K. Information Science for Materials Discovery and Design. (Springer International Publishing, Switzerland, 2015).
2. Potyrailo, R. et al. Combinatorial and high-throughput screening of materials libraries: review of state of the art. ACS Comb. Sci. 13, 579–633 (2011).
3. Koinuma, H. & Takeuchi, I. Combinatorial solid-state chemistry of inorganic materials. Nat. Mater. 3, 429–438 (2004).
4. Gregoire, J. M. et al. High-throughput synchrotron X-ray diffraction for combinatorial phase mapping. J. Synchrotron Rad. 21, 1262–1268 (2014).
5. Ueno, T. et al. Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling. npj Comput. Mater. 4, 4 (2018).
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