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New tolerance factor to predict the stability of perovskite oxides and halides

2019· article· en· 1,715 citations· W2785060548 on OpenAlex· 10.1126/sciadv.aav0693

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Abstract

) 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Science Advances
Topic
Perovskite Materials and Applications
Field
Engineering
Canadian institutions
Funders
Office of Energy EfficiencyMax-Planck-GesellschaftEuropean CommissionDivision of Chemical, Bioengineering, Environmental, and Transport SystemsAlexander von Humboldt-StiftungHorizon 2020U.S. Department of EducationBanting and Best Diabetes Centre, University of TorontoOffice of Energy Efficiency and Renewable EnergyU.S. Department of EnergyNational Science Foundation
Keywords
HalideSimple (philosophy)Perovskite (structure)Stability (learning theory)Computer scienceBiological systemMaterials scienceFactor (programming language)Chemical physicsChemistryInorganic chemistryCrystallographyMachine learningProgramming languageBiology
Has abstract in OpenAlex
yes