New tolerance factor to predict the stability of perovskite oxides and halides
Christopher J. BartelDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, USAChristopher SuttonFritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, D-14195 Berlin, GermanyBryan R. GoldsmithDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109‑2136, USARunhai OuyangFritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, D-14195 Berlin, GermanyCharles B. MusgraveDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, USALuca M. GhiringhelliFritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, D-14195 Berlin, GermanyMatthias SchefflerFritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, D-14195 Berlin, Germany
2019en
ABI
Annotatsiya
) ranked by their probability of being stable as perovskite. This work guides experimentalists and theorists toward which perovskites are most likely to be successfully synthesized and demonstrates an approach to descriptor identification that can be extended to arbitrary applications beyond perovskite stability predictions.
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