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This content will become publicly available on March 1, 2026

Title: Empirical model for the prediction of lattice constants in 1:2 ordered perovskites
Abstract Processing–structure relationships are at the heart of materials science, and predictive tools are essential for modern technological industries insofar as structure dictates intrinsic properties; however, few theoretical models exist for cation‐ordered perovskites. In this work, a combination of data mining and solid‐state synthesis was employed to collect structural data of 1:2 ordered (triple) perovskites. Three compositions within the (Ba1 − xSrx)(Mg1/3Ta2/3)O3system were synthesized using a conventional solid‐state mixed‐oxide method. X‐ray diffraction data showed evidence of long‐range 1:2 B‐site cation ordering for all compositions. Additional data for another 24 1:2 ordered compositions were mined from literature. Correlative models for the deviation in modified tolerance factor (Δt′) were derived for each system, and a general model which is capable of predicting the pseudocubic lattice constants of such perovskites based solely on published ionic‐radii data developed.  more » « less
Award ID(s):
1950305
PAR ID:
10578429
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
Wiley
Date Published:
Journal Name:
Journal of the American Ceramic Society
Volume:
108
Issue:
3
ISSN:
0002-7820
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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