" <p>We present a tool for predicting the crystal structure of octet binary compounds, by using a set of descriptive parameters (a descriptor) based on free-atom data of the atomic species constituting the binary material. We apply a newly developed method: sure independence screening and sparsifying operator (SISSO), that allows to find an optimal descriptor in a huge feature space containing billions of features §. In this tutorial an $\\ell+0$-optimization is used as the sparsifying operator.",
" <p>We present a tool for predicting the crystal structure of octet binary compounds, by using a set of descriptive parameters (a descriptor) based on free-atom data of the atomic species constituting the binary material. We apply a newly developed method: sure independence screening and sparsifying operator (SISSO), that allows to find an optimal descriptor in a huge feature space containing billions of features §. In this tutorial an $\\ell_0$-optimization is used as the sparsifying operator.",
"R. Ouyang, S. Curtarolo, E. Ahmetcik, L. M. Ghiringhelli, and M. Scheffler: <span style=\"font-style: italic;\">SISSO: a compressed-sensing method for systematically identifying efficient physical models of materials properties, </span> <a href=\"http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.105503\">https://arxiv.org/abs/1710.03319</a> (2017). <br>",
