{"id":"W2810294304","doi":"10.1103/physrevmaterials.2.083802","title":"SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates","year":2018,"lang":"en","type":"article","venue":"Physical Review Materials","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":755,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Horizon 2020; Banting and Best Diabetes Centre, University of Toronto; Alexander von Humboldt-Stiftung; U.S. Department of Defense","keywords":"Curse of dimensionality; Binary number; Independence (probability theory); Property (philosophy); Key (lock); Operator (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null}