Stefan Kowarik

About Stefan Kowarik

Stefan Kowarik, With an exceptional h-index of 32 and a recent h-index of 20 (since 2020), a distinguished researcher at Karl-Franzens-Universität Graz, specializes in the field of molecular materials, optics, optical and x-ray analytics, x-ray scattering.

His recent articles reflect a diverse array of research interests and contributions to the field:

X-ray diffraction under grazing incidence conditions

Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge

Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments

Chirality-specific unidirectional rotation of molecular motors on Cu (111)

Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement

Artificial neural networks and data fusion enable concentration predictions for inline process analytics

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method

Machine learning predictions of surface migration barriers in nucleation and non-equilibrium growth

Stefan Kowarik Information

University

Position

Physical and Theoretical Chemistry

Citations(all)

4666

Citations(since 2020)

1600

Cited By

3764

hIndex(all)

32

hIndex(since 2020)

20

i10Index(all)

49

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Stefan Kowarik Skills & Research Interests

molecular materials

optics

optical and x-ray analytics

x-ray scattering

Top articles of Stefan Kowarik

Title

Journal

Author(s)

Publication Date

X-ray diffraction under grazing incidence conditions

Oliver Werzer

Stefan Kowarik

Fabian Gasser

Zhang Jiang

Joseph Strzalka

...

2024/2/29

Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge

arXiv preprint arXiv:2307.05364

Valentin Munteanu

Vladimir Starostin

Alessandro Greco

Linus Pithan

Alexander Gerlach

...

2023/6/28

Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments

Journal of Synchrotron Radiation

Linus Pithan

Vladimir Starostin

David Mareček

Lukas Petersdorf

Constantin Völter

...

2023/11/1

Chirality-specific unidirectional rotation of molecular motors on Cu (111)

ACS nano

Monika Schied

Deborah Prezzi

Dongdong Liu

Stefan Kowarik

Peter A Jacobson

...

2023/2/9

Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement

Journal of Applied Crystallography

David Mareček

Julian Oberreiter

Andrew Nelson

Stefan Kowarik

2022/10/1

Artificial neural networks and data fusion enable concentration predictions for inline process analytics

Digital Discovery

Peter Sagmeister

Robin Hierzegger

Jason D Williams

C Oliver Kappe

Stefan Kowarik

2022

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method

IEEE Transactions on Emerging Topics in Computing

Florian Fricke

Marcelo Brandalero

Sascha Liehr

Simon Kern

Klas Meyer

...

2021/12/6

Machine learning predictions of surface migration barriers in nucleation and non-equilibrium growth

Communications materials

Thomas Martynec

Christos Karapanagiotis

Sabine HL Klapp

Stefan Kowarik

2021/9/2

Grazing incidence X-ray scattering techniques to study growth mechanism of organic films

Advanced Characterization of Nanostructured Materials. Probing the Structure and Dynamics with Synchrotron X-Rays and Neutrons. Edited by Sunil K. Sinha

Rupak Banerjee

Stefan Kowarik

Frank Schreiber

2021/3/23

Fiber optic train monitoring with distributed acoustic sensing: Conventional and neural network data analysis

Sensors

Stefan Kowarik

Maria-Teresa Hussels

Sebastian Chruscicki

Sven Münzenberger

Andy Lämmerhirt

...

2020/1/13

Training data of quantitative online NMR spectroscopy for artificial neural networks

Simon Kern

Sascha Liehr

Lukas Wander

Martin Bornemann-Pfeiffer

S Müller

...

2020

Artificial neural networks for quantitative online NMR spectroscopy

Analytical and bioanalytical chemistry

Simon Kern

Sascha Liehr

Lukas Wander

Martin Bornemann-Pfeiffer

Simon Müller

...

2020/7

Train monitoring using distributed fiber optic acoustic sensing

Stefan Kowarik

Konstantin Hicke

Sebastian Chruscicki

Marcus Schukar

Mathias Breithaupt

...

2020/6/8

See List of Professors in Stefan Kowarik University(Karl-Franzens-Universität Graz)

Co-Authors

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