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Related papers: Polarization Domain Mapping From 4D-STEM Using Dee…

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Polarization measurements done using Imaging Polarimeters such as the Robotic Polarimeter are very sensitive to the presence of artefacts in images. Artefacts can range from internal reflections in a telescope to satellite trails that could…

Partial differential equations (PDEs) are widely used for modeling various physical phenomena. These equations often depend on certain parameters, necessitating either the identification of optimal parameters or the solution of the…

Numerical Analysis · Mathematics 2025-10-17 Martina Bukač , Iva Manojlović , Boris Muha , Domagoj Vlah

We analyze the quantum limit of sensitivity in four-dimensional scanning transmission electron microscopy (4D-STEM), which has emerged as a favored technique for imaging the structure of a wide variety of materials, including biological and…

Optics · Physics 2024-08-14 Christian Dwyer , David M. Paganin

There is a growing interest in designing models that can deal with images from different visual domains. If there exists a universal structure in different visual domains that can be captured via a common parameterization, then we can use a…

Computer Vision and Pattern Recognition · Computer Science 2019-02-20 Yunhui Guo , Yandong Li , Rogerio Feris , Liqiang Wang , Tajana Rosing

Proximity ferroelectricity is a novel paradigm for inducing ferroelectricity, where a non-ferroelectric polar material, which is unswitchable with an external field below the dielectric breakdown field, becomes a practically switchable…

In the domain of battery research, the processing of high-resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilization of deep…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Ganesh Raghavendran , Bing Han , Fortune Adekogbe , Shuang Bai , Bingyu Lu , William Wu , Minghao Zhang , Ying Shirley Meng

Momentum-resolved scanning transmission electron microscopy (MRSTEM) is a powerful phase-contrast technique that can map lateral magnetic and electric fields ranging from the micrometer to the subatomic scale. Resolving fields ranging from…

The rhombohedral (r) polytypes of transition metal dichalcogenides (TMDs) constitute a novel class of two-dimensional ferroelectric materials, where lateral shifts between parallel layers induce reversible out-of-plane polarization. This…

Room temperature coexistence of ferromagnetism and ferroelectricity in a thin film of a novel material of nominal composition PbTi0.5Fe0.5O3-d is probed by standard ferroelectric and ferromagnetic hysteresis loop measurements and by…

Materials Science · Physics 2009-11-11 V. R. Palkar , S. C. Purandare , S. Gohil , J. John , S. Bhattacharya

Twinning is a common crystallographic phenomenon, which usually occurs in crystals during symmetry-lowering phase transition. Once formed, twin domains play an important role in defining physical properties: for example, twin domains…

Materials Science · Physics 2021-10-28 Semen Gorfman , David Spirito , Guanjie Zhang , Carsten Detlefs , Nan Zhang

Light-induced sliding ferroelectricity in two-dimensional van der Waals materials enables polarization control via relative layer motion. However, polarization switching occurs on the time scale of shear modes (tens of ps) and requires very…

Materials Science · Physics 2026-05-26 Xiangzhou Zhu , Stefano Mocatti , Matteo Calandra

Structural features of ferroic domains are fundamentally important for the understanding of microstructure and physical properties of ferroic materials, and they are also of technological significance for information storage and electronic…

Materials Science · Physics 2012-05-22 J. Q. Li , J. Li , H. X. Yang , H. F. Tian , S-W. Cheong , C. Ma , S. Zhang , Y. G. Zhao

Ferroelectrics usually adopt a multi-domain state with domain walls separating domains with polarization axes oriented differently. It has long been recognized that domain walls can dramatically impact the properties of ferroelectric…

Materials Science · Physics 2017-03-15 Shi Liu , R. E. Cohen

The quest to understand correlated electronic systems has pushed the frontiers of experimental measurements toward the development of new experimental techniques and methodologies. Here we use a novel home-built uniaxial-strain device…

Strongly Correlated Electrons · Physics 2019-04-30 Mariam Kavai , Ioannis Giannakis , Justin Leshen , Joel Friedman , Pawel Zajdel , Pegor Aynajian

In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Network (CNN). By exploiting the observation that a…

Machine Learning · Computer Science 2020-09-30 Ze Wang , Xiuyuan Cheng , Guillermo Sapiro , Qiang Qiu

The structure of 180-degree uncharged rotational domain wall in a multiaxial ferroelectric film is studied within the framework of analytical Landau-Ginzburg-Devonshire (LGD) approach. The Finite Element Modelling (FEM) is used to solve…

Materials Science · Physics 2020-11-18 Anna N. Morozovska , Eugene A. Eliseev , Yevhen M. Fomichov , Sergei V. Kalinin

Magnetoelectric multiferroics promise direct cross-control between coexisting ferroelectric and ferromagnetic orders, which is of interest for applications in magnetism and spintronics. A particularly interesting type of cross-control is…

Polar metals are an underexplored material class combining two properties that are typically incompatible, namely a polar crystal structure and reasonable electrical conductivity. These intriguing materials offer a unique combination of…

With the advent of increasingly elaborate experimental techniques in physics, chemistry and materials sciences, measured data are becoming bigger and more complex. The observables are typically a function of several stimuli resulting in…

Rapid emergence of the multimodal imaging in scanning probe, electron, and optical microscopies have brought forth the challenge of understanding the information contained in these complex data sets, targeting both the intrinsic…

Materials Science · Physics 2021-10-14 Yongtao Liu , Maxim Ziatdinov , Sergei V. Kalinin
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