Berlin 2018 – wissenschaftliches Programm
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MA: Fachverband Magnetismus
MA 52: Poster II
MA 52.60: Poster
Donnerstag, 15. März 2018, 15:00–18:00, Poster C
Characterizing Magnetoelectricity at the Local Scale — •Harsh Trivedi1, Vladimir Shvartsman1, Robert Pullar2, Marco Medeiros2, Pavel Zelenovskiy3, Vladimir Shur3, and Doru Lupascu1 — 1Institute for Materials Science and Centre for Nanointegration Duisburg-Essen (CeNIDE), University of Duisburg-Essen, 45141, Essen, Germany — 2CICECO, University of Aveiro, 3810-193, Aveiro, Portugal — 3School of Natural Sciences and Mathemaics, Ural Federal University, 620002, Ekaterinburg, Russia
A growing interest in studying local manifestations of macroscopic functionalities has led to a wide spread development in near-field microscopic techniques. Common examples of such studies include electrical conduction at ferroelectric/ferroelastic domain walls, polarization dynamics in ferroelectrics, study of ergodicity in relaxor-ferroelectrics, and the local magnetoelectric (ME) effect. The data in these studies are often captured in the form of sequence of images or spectroscopic responses over a 2D-grid. Theoretically, the effect under consideration can be characterized by local measurement of the induced parameters. However, there are certain instrumental challenges. In this poster we highlight these challenges by considering composite multiferroics as a case study. Here, we consider local measurements on various BaTiO3/Ferrite based composite systems. We have utilized techniques like Piezoresponse Force Microscopy (PFM), Confocal Raman Microscopy (CRM), Magnetic Force Microscopy (MFM) for the local measurements. To overcome the above-mentioned challenges, we propose a set of approximation methods based on machine-learning.