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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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Curtarolo,  Stefano
Theory, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons203189

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

/persons/resource/persons22064

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

/persons/resource/persons21549

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

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Fulltext (public)

PhysRevMaterials.2.083802.pdf
(Publisher version), 1002KB

Supplementary Material (public)

SISSO_Ouyang_etal_2018 supplementary.pdf
(Supplementary material), 2MB

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(08): 083802. doi:10.1103/PhysRevMaterials.2.083802.


Cite as: https://hdl.handle.net/21.11116/0000-0001-A468-1
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