activity
20202024
most citedWeak-signal extraction enabled by deep-neural-network denoising of diffraction data

24 citations · 96 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cond-mat.mes-hall2022★ 4 cited

Linear colossal magnetoresistance driven by magnetic textures in LaTiO3 thin films on SrTiO3

Teresa Tschirner, Berengar Leikert, Felix Kern +12

Linear magnetoresistance (LMR) is of particular interest for memory, electronics, and sensing applications, especially when it does not saturate over a wide range of magnetic field…

eess.IV2022★ 24 cited

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data

Jens Oppliger, M. Michael Denner, Julia Küspert +20

Removal or cancellation of noise has wide-spread applications for imaging and acoustics. In every-day-life applications, denoising may even include generative aspects, which are un…

physics.ins-det2022★ 7 cited

In-situ uniaxial pressure cell for X-ray and neutron scattering experiments

G. Simutis, A. Bollhalder, M. Zolliker +18

We present an in-situ uniaxial pressure device optimized for small angle X-ray and neutron scattering experiments at low-temperatures and high magnetic fields. A stepper motor gene…

cond-mat.supr-con2022★ 5 cited

Pseudogap Suppression by Competition with Superconductivity in La-Based Cuprates

J. Küspert, R. Cohn Wagner, C. Lin +23

We have carried out a comprehensive high-resolution angle-resolved photoemission spectroscopy (ARPES) study of the pseudogap interplay with superconductivity in La-based cuprates.…

cond-mat.str-el2022★ 19 cited

Single domain stripe order in a high-temperature superconductor

G. Simutis, J. Küspert, Q. Wang +15

The coupling of spin, charge and lattice degrees of freedom results in the emergence of novel states of matter across many classes of strongly correlated electron materials. A mode…