@article{33370,
  keywords = {Modeling, Electricity, Methodology, Electron microscopy, Crystal structure, Titanium dioxide, Polarization, Machine learning, Experimental study, Unclassified drug, Article, Chemical structure, Lead titanate, Strontium, Electrical property, Molecular model, Strontium titanate, Organolead compound, Computer vision, Data set, Electricity generation, Identification method, Inorganic compound, Vortex, Computer analysis, Flexoelectricity, Quantitative analysis, Vortex motion},
  author = {Q Li and C.T Nelson and S.-L Hsu and A.R Damodaran and L.-L Li and A.K Yadav and M McCarter and L.W Martin and Ramamoorthy Ramesh and S.V Kalinin},
  title = {Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling},
  abstract = {Flexoelectricity refers to electric polarization generated by heterogeneous mechanical strains, namely strain gradients, in materials of arbitrary crystal symmetries. Despite more than 50 years of work on this effect, an accurate identification of its coupling strength remains an experimental challenge for most materials, which impedes its wide recognition. Here, we show the presence of flexoelectricity in the recently discovered polar vortices in PbTiO3/SrTiO3 superlattices based on a combination of machine-learning analysis of the atomic-scale electron microscopy imaging data and phenomenological phase-field modeling. By scrutinizing the influence of flexocoupling on the global vortex structure, we match theory and experiment using computer vision methodologies to determine the flexoelectric coefficients for PbTiO3 and SrTiO3. Our findings highlight the inherent, nontrivial role of flexoelectricity in the generation of emergent complex polarization morphologies and demonstrate a viable approach to delineating this effect, conducive to the deeper exploration of both topics. © 2017 The Author(s).},
  year = {2017},
  journal = {Nature Communications},
  volume = {8},
  number = {1},
  publisher = {Nature Publishing Group},
  issn = {20411723},
  doi = {10.1038/s41467-017-01733-8},
  note = {cited By 27},
  language = {eng},
}