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

Abstract

Simple and interpretable data-driven descriptor accurately predicts the synthesizability of single and double perovskites.

Keywords

HalideSimple (philosophy)Perovskite (structure)Stability (learning theory)Computer scienceBiological systemMaterials scienceFactor (programming language)Chemical physicsChemistryInorganic chemistryCrystallographyMachine learningProgramming languageBiology

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Publication Info

Year: 2019
Type: article
Volume: 5
Issue: 2
Pages: eaav0693-eaav0693
Citations: 1482
Access: Closed

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APA Style

                            
                                
                                    Christopher J. Bartel, 
                                
                                    Christopher Sutton, 
                                
                                    Bryan R. Goldsmith
                                
                                et al.
                            
                            (2019). 
                            New tolerance factor to predict the stability of perovskite oxides and halides. 
                            Science Advances
                            , 5
                            (2)
                            , eaav0693-eaav0693.
                            https://doi.org/10.1126/sciadv.aav0693
                        

Identifiers

DOI: 10.1126/sciadv.aav0693
PMID: 30783625
PMCID: PMC6368436
arXiv: 1801.07700

Data Quality

Data completeness: 88%