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Journal Article

SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

MPS-Authors

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Ouyang, Runhai
Theory, Fritz Haber Institute, Max Planck Society;

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Curtarolo, Stefano
Theory, Fritz Haber Institute, Max Planck Society;
Duke University, Durham, North Carolina, USA;

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Ahmetcik, Emre
Theory, Fritz Haber Institute, Max Planck Society;

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Scheffler, Matthias
Theory, Fritz Haber Institute, Max Planck Society;

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Ghiringhelli, Luca M.
Theory, Fritz Haber Institute, Max Planck Society;

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Citation

Ouyang, R., Curtarolo, S., Ahmetcik, E., Scheffler, M., & Ghiringhelli, L. M. (2018). SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials, 2: 083802. doi:10.1103/PhysRevMaterials.2.083802.

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