Over the last 30 years, the study of ferroelectric oxides has been revolutionized by the
implementation of epitaxial‐thin‐film‐based studies, which have driven many advances in …

Multiscale and multimodal imaging of material structures and properties provides solid
ground on which materials theory and design can flourish. Recently, KAIST announced 10 …

Materials research studies are dealing with a large number of images, which can now be
facilitated via image-based machine learning techniques. In this article, we review recent …

Understanding lattice deformations is crucial in determining the properties of nanomaterials,
which can become more prominent in future applications ranging from energy harvesting to …

Abstract Domain walls and phase boundaries are fundamental ingredients of ferroelectrics
and strongly influence their functional properties. Although both interfaces have been …

Further miniaturization of electronic devices necessitates the introduction of new materials,
including piezoelectric thin films, that exhibit electromechanical functionalities without …

Single-shot coherent diffraction imaging of isolated nanosized particles has seen
remarkable success in recent years, yielding in-situ measurements with ultra-high spatial …

Even a century after the discovery of ferroelectricity, the quest for the novel
multifunctionalities in ferroelectric and multiferroics continues unbounded. Vertically aligned …

Ferroelectrics are technologically important, with wide application in micromechanical
systems, nonlinear optics, and information storage. Recent discoveries of exotic polarization …

Abstract Machine‐learning techniques are more and more often applied to the analysis of
complex behaviors in materials research. Frequently used to identify fundamental behaviors …