Composition-Driven Phase Evolution in Sm-Doped BiFeO3 via Latent-Field Reconstruction of Atomically Resolved STEM Data

📅 2026-08-19
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本文通过开发一种基于潜场重构的方法分析原子级STEM数据,研究了Sm掺杂BiFeO3中成分驱动的相变过程。
📝 Abstract
Functionalities of ferroelectric materials are governed by the spatial organization and coupling of polarization, strain, lattice rotation, and structural order accessible via atomically resolved scanning transmission electron microscopy (STEM) images. Quantitative interpretation of atomic-resolution STEM data has conventionally relied on locating atomic columns and converting their fitted coordinates into local structural descriptors. Here, we develop a field-based approach in which atomic-resolution images are represented by spatially varying latent Bragg fields, whose amplitudes and phases provide continuous maps of crystalline order, lattice displacement, strain, rotation, and mode-specific residual structure. The observed atomically resolved images are decoded from the latent fields. We apply this framework to image series of Sm-substituted BiFeO3 spanning 0-20% Sm and crossing the composition-driven boundary between the R3c ferroelectric phase and the orthorhombic, nonpolar Pnma phase. Conventional atom-resolved parameterization is used as an independent validation, showing that reconstructed Bragg amplitude tracks local atomic-column intensity and that field-derived shear reproduces unit-cell angular distortions obtained from atom fitting. The combined analysis reveals a systematic evolution from extended ferroelectric domains at low Sm concentration, through the appearance and growth of localized regions with period-doubled Pnma order at intermediate compositions, to a connected Pnma-dominated state at high Sm content. The period-doubled order is accompanied by enhanced shear and lattice rotation and by progressive reorganization of the ferroelectric domain structure. These results establish latent-field reconstruction as a physically interpretable complement to atom finding and provide a unified framework for resolving composition-driven phase evolution in ferroic materials.
Problem

Research questions and friction points this paper is trying to address.

composition-driven phase evolution
ferroelectric materials
atomically resolved STEM data
latent-field reconstruction
Sm-doped BiFeO3
Innovation

Methods, ideas, or system contributions that make the work stand out.

latent-field reconstruction
Bragg fields
atomic-resolution STEM
composition-driven phase evolution
ferroelectric domain structure
N
Newsha Javanmardi
Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996, USA
C
Christopher T. Nelson
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
A
Anna N. Morozovska
Institute of Physics, National Academy of Sciences of Ukraine, 46 Nauky Avenue, Kyiv 03028, Ukraine
E
Eugene A. Eliseev
Frantsevich Institute for Problems of Materials Science, National Academy of Sciences of Ukraine, 3 Omeliana Pritsaka Street, Kyiv 03142, Ukraine
Ichiro Takeuchi
Ichiro Takeuchi
University of Maryland
Combinatorial materials sciencedevice physics
Sergei V. Kalinin
Sergei V. Kalinin
Weston Fulton Chair Professor, UT Knoxville. Chief Scientist, AI/ML for Physical Sciences, PNNL
AI4Materialsautomated experimentelectron microscopySPMatomic fabrication