A Combined Theoretical and Experimental Study of the Phase Coexistence and Morphotropic Boundaries in Ferroelectric-Antiferroelectric-Antiferrodistortive Multiferroics
Anna N. Morozovska, Dmitry V. Karpinsky, Denis O. Alikin, Alexander, Abramov, Eugene A. Eliseev, Maya D. Glinchuk, Andrii D. Yaremkevich, Olena M., Fesenko, Tamara V. Tsebrienko, A. Pakalni\v{s}kis, A. Kareiva, Maxim V., Silibin, Vitali V. Sidski, Sergei V. Kalinin

TL;DR
This study combines theoretical modeling and experimental analysis to understand phase coexistence and morphotropic boundaries in ferroelectric-antiferroelectric multiferroics, specifically Bi1-yRyFeO3 ceramics, revealing insights into their structural transformations.
Contribution
It introduces a combined Landau-Ginzburg-Devonshire and semi-microscopic model validated by experiments to explain phase coexistence in multiferroics.
Findings
LGD-FSM model accurately predicts phase fractions
Experimental results confirm theoretical phase coexistence
Doping influences morphotropic phase boundaries
Abstract
The physical nature of the ferroelectric (FE), ferrielectric (FEI) and antiferroelectric (AFE) phases, their coexistence and spatial distributions underpin the functionality of antiferrodistortive (AFD) multiferroics in the vicinity of morphotropic phase transitions. Using Landau-Ginzburg-Devonshire (LGD) phenomenology and a semi-microscopic four sublattice model (FSM), we explore the behavior of different AFE, FEI and FE long-range orderings and their coexistence at the morphotropic phase boundaries in FE-AFE-AFD multiferroics. These theoretical predictions are compared with the experimental observations for dense Bi1-yRyFeO3 ceramics, where R is Sm or La atoms with the fraction 0 < y< 0.25, as confirmed by the X-ray diffraction (XRD) and Piezoresponse Force Microscopy (PFM). These complementary measurements were used to study the macroscopic and nanoscopic transformation of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
