activity
20232026
most citedR2D2 -- An equivalent-circuit model that quantitatively describes domain wall conductivity in ferroelectric LiNbO

16 citations · 21 across the 8 of their papers we have counts for

collaborators

10 papers

cond-mat.mtrl-sci2026

Photo-induced currents and short-term memory for reservoir computing in a ferroelectric semiconductor

Yan Meng Chong, Atreya Majumdar, Manuel Zahn +3

Physical reservoir computing represents an energy efficient approach for processing temporal signals by exploiting the intrinsic nonlinear dynamics and fading memory of a physical…

cond-mat.mtrl-sci2026

The domain-wall/metal-electrode injection barrier in lithium niobate: Which electrical transport model fits best?

Manuel Zahn, Elke Beyreuther, Iuliia Kiseleva +3

The comprehensive description of both the electrical transport along conductive domain walls (CDWs) in lithium niobate (LNO) single crystals and the charge injection at the interfa…

cond-mat.mtrl-sci2025

Domain-wall driven suppression of thermal conductivity in a ferroelectric polycrystal

Rachid Belrhiti-Nejjar, Manuel Zahn, Patrice Limelette +8

A common strategy for reducing thermal conductivity of polycrystalline systems is to increase the number of grain boundaries. Indeed, grain boundaries enhance the probability of ph…

cond-mat.mtrl-sci2024

Reversible long-range domain wall motion in an improper ferroelectric

M. Zahn, A. M. Müller, K. P. Kelley +8

Reversible ferroelectric domain wall movements beyond the 10 nm range associated with Rayleigh behavior are usually restricted to specific defect-engineered systems. Here, we demon…

cond-mat.mtrl-sci2024★ 5 cited

Towards the reproducible fabrication of conductive ferroelectric domain walls into lithium niobate bulk single crystals

Julius Ratzenberger, Iuliia Kiseleva, Boris Koppitz +7

Ferroelectric domain walls (DWs) are promising structures for assembling future nano-electronic circuit elements on a larger scale, since reporting domain wall currents of up to 1…

cond-mat.mtrl-sci2023

Non-destructive tomographic nanoscale imaging of ferroelectric domain walls

Jiali He, Manuel Zahn, Ivan N. Ushakov +8

Extraordinary physical properties arise at polar interfaces in oxide materials, including the emergence of two-dimensional electron gases, sheet-superconductivity, and multiferroic…

cond-mat.mtrl-sci2023★ 16 cited

R2D2 -- An equivalent-circuit model that quantitatively describes domain wall conductivity in ferroelectric LiNbO

Manuel Zahn, Elke Beyreuther, Iuliia Kiseleva +7

Ferroelectric domain wall (DW) conductivity (DWC) can be attributed to two separate mechanisms: (a) the injection/ejection of charge carriers across the Schottky barrier formed at…

cond-mat.mtrl-sci2023

Imaging and structure analysis of ferroelectric domains, domain walls, and vortices by scanning electron diffraction

Ursula Ludacka, Jiali He, Shuyu Qin +9

Direct electron detectors in scanning transmission electron microscopy give unprecedented possibilities for structure analysis at the nanoscale. In electronic and quantum materials…

cond-mat.mtrl-sci2023

Pressure-control of non-ferroelastic ferroelectric domains in ErMnO3

O. W. Sandvik, A. M. Müller, H. W. Ånes +7

Mechanical pressure controls the structural, electric, and magnetic order in solid state systems, allowing to tailor and improve their physical properties. A well-established examp…

cs.CV2023

Efficient human-in-loop deep learning model training with iterative refinement and statistical result validation

Manuel Zahn, Douglas P. Perrin

Annotation and labeling of images are some of the biggest challenges in applying deep learning to medical data. Current processes are time and cost-intensive and, therefore, a limi…