Li-Ge data for: Machine Learning of Ab-initio Energy Landscapes for Crystal Structure Predictions

Name: Li-Ge data for: Machine Learning of Ab-initio Energy Landscapes for Crystal Structure Predictions
Creator: Richard Hennig
Published: 2019-01-18T16:21:32.893Z
Keywords: Crystal Structure

Hennig, Richard

doi:10.17632/gjbnn7ygdh.1

Li-Ge data for: Machine Learning of Ab-initio Energy Landscapes for Crystal Structure Predictions

Published: 18 January 2019| Version 1 | DOI: 10.17632/gjbnn7ygdh.1

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Richard Hennig

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Evolutionary algorithm structure search for Li-Ge crystal structures. W. W. Tipton, C. A. Mathulis, and R. G. Hennig. Ab-initio prediction of the Li5Ge2 Zintl compound. Comp. Mater. Sci. 93, 133 (2014)

Li-Ge data for: Machine Learning of Ab-initio Energy Landscapes for Crystal Structure Predictions

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