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Published on: April 8, 2020
Prediction of possible CaMnO3 modifications using an ab initio minimization data-mining approach
Jelena Zagorac1, Dejan Zagorac1, Aleksandra Zarubica2
1Materials Science Laboratory, Institute of Nuclear Sciences Vinča, Belgrade University, PO Box 522, 11001 Belgrade, Serbia.
Abstract:
We have performed a crystal structure prediction study of CaMnO3 focusing on structures generated by octahedral tilting according to group-subgroup relations from the ideal perovskite type (Pm\overline 3 m), which is the aristotype of the experimentally known CaMnO3 compound in the Pnma space group. Furthermore, additional structure candidates have been obtained using data mining. For each of the structure candidates, a local optimization on the ab initio level using density-functional theory (LDA, hybrid B3LYP) and the Hartree--Fock (HF) method was performed, and we find that several of the modifications may be experimentally accessible. In the high-pressure regime, we identify a post-perovskite phase in the CaIrO3 type, not previously observed in CaMnO3. Similarly, calculations at effective negative pressure predict a phase transition from the orthorhombic perovskite to an ilmenite-type (FeTiO3) modification of CaMnO3.
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