{"id":"W2785060548","doi":"10.1126/sciadv.aav0693","title":"New tolerance factor to predict the stability of perovskite oxides and halides","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":1715,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Energy Efficiency; Max-Planck-Gesellschaft; European Commission; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Alexander von Humboldt-Stiftung; Horizon 2020; U.S. Department of Education; Banting and Best Diabetes Centre, University of Toronto; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy; National Science Foundation","keywords":"Halide; Simple (philosophy); Perovskite (structure); Stability (learning theory); Computer science; Biological system; Materials science; Factor (programming language); Chemical physics; Chemistry; Inorganic chemistry; Crystallography; Machine learning; Programming language; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null}