Stefan Kowarik
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Explore the profile of Stefan Kowarik including associated specialties, affiliations and a list of published articles.
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Articles
24
Citations
157
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Recent Articles
1.
Asyuda A, Muller J, Gholami M, Zykov A, Pithan L, Koch C, et al.
Phys Chem Chem Phys
. 2024 Sep;
26(38):24841-24848.
PMID: 39291341
This study explores how laser light affects the morphology of tetracene films, and it presents novel strategies for improving the creation of thin films used in (opto-)electronic devices. We demonstrate...
2.
Munteanu V, Starostin V, Greco A, Pithan L, Gerlach A, Hinderhofer A, et al.
J Appl Crystallogr
. 2024 Apr;
57(Pt 2):456-469.
PMID: 38596736
Due to the ambiguity related to the lack of phase information, determining the physical parameters of multilayer thin films from measured neutron and X-ray reflectivity curves is, on a fundamental...
3.
Schumi-Marecek D, Bertram F, Mikulik P, Varshney D, Novak J, Kowarik S
J Appl Crystallogr
. 2024 Apr;
57(Pt 2):314-323.
PMID: 38596729
X-ray reflectometry (XRR) is a powerful tool for probing the structural characteristics of nanoscale films and layered structures, which is an important field of nanotechnology and is often used in...
4.
Pithan L, Starostin V, Marecek D, Petersdorf L, Volter C, Munteanu V, et al.
J Synchrotron Radiat
. 2023 Oct;
30(Pt 6):1064-1075.
PMID: 37850560
Recently, there has been significant interest in applying machine-learning (ML) techniques to the automated analysis of X-ray scattering experiments, due to the increasing speed and size at which datasets are...
5.
Schied M, Prezzi D, Liu D, Kowarik S, Jacobson P, Corni S, et al.
ACS Nano
. 2023 Feb;
17(4):3958-3965.
PMID: 36757212
Molecular motors have chemical properties that enable unidirectional motion, thus breaking microscopic reversibility. They are well studied in solution, but much less is known regarding their behavior on solid surfaces....
6.
Marecek D, Oberreiter J, Nelson A, Kowarik S
J Appl Crystallogr
. 2022 Oct;
55(Pt 5):1305-1313.
PMID: 36249496
An approach is presented for analysis of real-time X-ray reflectivity (XRR) process data not just as a function of the magnitude of the reciprocal-space vector , as is commonly done,...
7.
Kern S, Liehr S, Wander L, Bornemann-Pfeiffer M, Muller S, Maiwald M, et al.
Anal Bioanal Chem
. 2020 May;
412(18):4447-4459.
PMID: 32388578
Industry 4.0 is all about interconnectivity, sensor-enhanced process control, and data-driven systems. Process analytical technology (PAT) such as online nuclear magnetic resonance (NMR) spectroscopy is gaining in importance, as it...
8.
Kowarik S, Hussels M, Chruscicki S, Munzenberger S, Lammerhirt A, Pohl P, et al.
Sensors (Basel)
. 2020 Jan;
20(2).
PMID: 31941137
Distributed acoustic sensing (DAS) over tens of kilometers of fiber optic cables is well-suited for monitoring extended railway infrastructures. As DAS produces large, noisy datasets, it is important to optimize...
9.
Greco A, Starostin V, Karapanagiotis C, Hinderhofer A, Gerlach A, Pithan L, et al.
J Appl Crystallogr
. 2019 Dec;
52(Pt 6):1342-1347.
PMID: 31798360
X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. This study shows how a simple artificial neural...
10.
Liehr S, Jager L, Karapanagiotis C, Munzenberger S, Kowarik S
Opt Express
. 2019 Mar;
27(5):7405-7425.
PMID: 30876305
We propose to use artificial neural networks (ANNs) for raw measurement data interpolation and signal shift computation and to demonstrate advantages for wavelength-scanning coherent optical time domain reflectometry (WS-COTDR) and...