Talks for the CRC Members in 2021

by Sabine Van Huffel

KU Leuven, Dept of Electrical Engineering-ESAT, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, 3001 Leuven, Belgium



After a general brief introduction of the BIOMED research group including the research topics under study, several key problems encountered in newborn brain protection in the Neonatal Intensive Care Unit (NICU) are highlighted each of which influences the mental development of the newborn. In particular, we will focus on


1. Monitoring abnormality of background Electro-EncephaloGraphy (EEG)

2. Automating seizure detection

3. Quantifying sleep-wake cycling stages from preterm to term 

4. Assessing preterm brain maturation using neural growth charts

5. Effects of perinatal stress  on EEG-based brain dysmaturity


Each key problem will be introduced including the main algorithms based on advanced signal processing and machine (deep) learning, together with the associated challenges before using these in clinical practice.  This research strongly benefits from a long-term collaboration with the Neonatal Intensive Care Unit of UZ Leuven, led by professor Gunnar Naulaers.

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by Long-Qing Chen

Department of Materials Science and Engineering and Materials Research Institute, Penn State University, University Park, PA 16802, USA



Materials research is largely concerned with the study and manipulation of the spatial and temporal evolution of structural, magnetic, electric polarization, and chemical domains in a material as well as their responses to external stimuli. Many of the existing applications of phase-field method have been focused on modeling, reproducing, and understanding the evolution of experimentally observed materials microstructures during processing and in-service conditions or to test analytical theories. This presentation will discuss a few examples on our recent attempts to employ the phase-field method to not only to interpret and understand experimentally observed ferroic domain patterns but also to provide guidance to experimental synthesis and characterization to discover new mesoscale domain states of ferroic materials or achieve dramatically enhanced properties. These include the theory-guided design of materials include the discovery of polar vortex lattices, skyrmions, and unusual negative capacitances in ferroelectric superlattices, synthesis of record-high piezoelectricity in ferroelectric relaxor ceramics and single crystals, and the discovery of simultaneous near-perfect light transparency and ultrahigh piezoelectricity through AC poling.

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by Alexander Kölpin

Institute of High-Frequency Technology, Hamburg University of Technology



This talk will present the current research on a microwave interferometric sensor that enables cardiovascular monitoring by analyzing the smallest relative movements of the body surface. This monitoring is conducted without contact from a distance of several meters and through clothing and non-conductive materials. Important parameters of the cardiovascular system and respiration, such as the temporal course and morphology of the pulse wave and heart sounds, but also high-resolution respiratory movements can be recorded contact-free with medically relevant quality. This requires relative distance resolutions in the sub-micrometer range, which can be achieved by the special hardware architecture of the microwave interferometric sensor. Patient studies show excellent accuracy and precision compared to clinical electrocardiogram data. In addition to these primary data, secondary information such as heart rate variability can be examined.

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by Denys Makarov

Helmholtz-Zentrum Dresden-Rossendorf e.V.



Extending 2D structures into 3D space has become a general trend in multiple disciplines including electronics, photonics, and magnetics. This approach provides means to enrich conventional or to launch novel functionalities by tailoring geometrical curvature and 3D shape. We study 3D curved magnetic thin films and nanowires where new fundamental effects emerge from the interplay of the geometry of an object and topology of a magnetic sub-system [1-4]. The lack of an inversion symmetry and the emergence of a curvature induced effective anisotropy and DMI are characteristic of curved surfaces, leading to curvature-driven magnetochiral responses and topologically induced magnetization patterning [5-7]. The possibility to tailor magnetic responses by geometry of the object is a new approach to material science, which allows to obtain a desired functionality of spintronic and spin-orbitronic devices yet without the need to rely on the optimization of the intrinsic material properties. The application potential of 3D-shaped magnetic thin films is currently being explored as mechanically shapeable magnetic field sensors [8] for automotive applications, magnetoelectrics for memory devices, spin-wave filters, high-speed racetrack memory devices as well as on-skin interactive electronics [9-11]. The magnetosensitive smart skins allow digitizing the bodily motion and offer new means of touchless manipulation of virtual objects based on the interaction with magnetic stray fields of small permanent magnets [9,11] but also with geomagnetic field [10]. The fundamentals as well as application relevant aspects of curvilinear magnetism will be covered in this presentation.

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by Marc-André Keip

Institute of Applied Mechanics Department of Civil and Environmental Engineering, University of Stuttgart



We discuss some recent results in the field of magento-electro-mechanical coupling of soft solids based on continuum theories and corresponding numerical simulations. The point of departure is the continuum modeling of magnetorheological elastomers (MREs) across several length scales. MREs are soft composite materials that are composed of a soft elastomer matrix and embedded magnetizable inclusions [1]. We investigate the micro-, meso- and macroscopic response of MREs with a particular focus on the evolution of magnetic microstructures in soft elastic surroundings [2], the homogenization of micro-magnetically informed mesostructures [3,4] and on the multiscale analysis of instabilities [5]. The view is then extended towards the application of MREs as soft magneto-electric sensors [6]. Here, we employ computational and semi-analytical techniques to the estimation of possible magneto-electric coupling coefficients of soft MRE bodies. Appropriate numerical examples across different length scales showcase multiscale features of MREs in the field of magneto-electro-elasticity.
The financial funding of the DFG in the framework of the Research Group 1509 (Ferroic Functional Materials; project KE 1849/2-2) and the Cluster of Excellence EXC 2075 (390740016) at the University of Stuttgart is gratefully acknowledged.

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Prof. Dr. Eckhard Quandt

Kiel University
Institute for Materials Science


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Christian-Albrechts-Universität zu Kiel (CAU)

Christ.-Albrechts-Platz 4
D-24118 Kiel


University Hospital Schleswig-Holstein, Campus Kiel (UKSH)

Arnold-Heller-Straße 3
D-24105 Kiel


Fraunhofer Institute for Silicon Technology, Itzehoe (ISIT)

Fraunhoferstrasse 1
D-25524 Itzehoe  


IPN - Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik 

Olshausenstraße 62 
D-24118 Kiel

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