0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe delicate balance between elastic energy and electrostatic energy in highly strained BiFeO3 (BFO) thin films results in complex mixed-phase patterns, which poses significant challenges for theoretical understanding and complicates the realization of its full potential in magnetoelectric, electromechanical, and photovoltaic devices. In this letter, we explore in-plane electric field induced phase transition in strain engineered BFO thin films and elucidate the mechanism behind the assembly behavior of complex nano-scale phase domains. Our approach enables deterministic control of phase variants with well-defined structures and orientation, paving the way for designing novel data storage devices based on mixed phase BFO.
Jian Zhou, Morgan Trassin, Qing He, Nobumichi Tamura, Martin Kunz, Chun Cheng, Jinxing Zhang, Wen‐I Liang, Jan Seidel, Cheng‐Lun Hsin, Junqiao Wu (2012). Directed assembly of nano-scale phase variants in highly strained BiFeO3 thin films. , 112(6), DOI: https://doi.org/10.1063/1.4752395.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2012
Authors
11
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1063/1.4752395
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access