Stefan Kowarik

University of Graz — Austria

Engineering · Physical Sciences

29h-index4.2kcitations100works6.42yr avg
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Research Topics

Organic Electronics and Photovoltaics(23), Machine Learning in Materials Science(21), Molecular Junctions and Nanostructures(14), Electron and X-Ray Spectroscopy Techniques(13), Semiconductor materials and devices(12)

Publications100 total

AI-SCOPE Poster: AI-Driven Enhancement of Surface Scattering Data for Open Science Platforms Across Europe
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
AI-SCOPE Poster: AI-Driven Enhancement of Surface Scattering Data for Open Science Platforms Across Europe
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
High-speed x-ray reflectometry for characterization of thin film growth at high deposition rates
Physical review. B./Physical review. B·2025Open Access
High-speed x-ray reflectometry for characterization of thin film growth at high deposition rates
DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)·2025Open Access
Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge
Journal of Applied Crystallography·2024· 10 citedOpen Access
Millisecond X-ray reflectometry and neural network analysis: unveiling fast processes in spin coating
Journal of Applied Crystallography·2024· 4 citedOpen Access
X-ray diffraction under grazing incidence conditions
Nature Reviews Methods Primers·2024· 36 citedOpen Access
Laser-induced tuning of crystallization in tetracene thin films
Physical Chemistry Chemical Physics·2024· 1 citedOpen Access
Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments
Journal of Synchrotron Radiation·2023· 23 citedOpen Access
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
arXiv (Cornell University)·2023Open Access
Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments
arXiv (Cornell University)·2023· 1 citedOpen Access
Chirality-Specific Unidirectional Rotation of Molecular Motors on Cu(111)
ACS Nano·2023· 10 citedOpen Access
Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement
Journal of Applied Crystallography·2022· 8 citedOpen Access
Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement.
PubMed·2022· 4 citedOpen Access
Reflectometry curves (XRR and NR) and corresponding fits for machine learning
2022Open Access
Reflectometry curves (XRR and NR) and corresponding fits for machine learning
Zenodo (CERN European Organization for Nuclear Research)·2022· 2 citedOpen Access
Training data for benchtop NMR and UV/vis spectroscopy for Artificial Neural Networks
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Training data for benchtop NMR and UV/vis spectroscopy for Artificial Neural Networks
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Training data for benchtop NMR and UV/vis spectroscopy for Artificial Neural Networks
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Artificial neural networks and data fusion enable concentration predictions for inline process analytics
Digital Discovery·2022· 11 citedOpen Access
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Frequent Co-authors

Frank Schreiber(25), Alexander Gerlach(19), Alexander Hinderhofer(9), Linus Pithan(9), Stefan Sellner(7), Anton Zykov(7), Stefan Hecht(5), Sebastian Bommel(5), Jürgen P. Rabe(5), Christopher Weber(5), Paul Beyer(5), Leide P. Cavalcanti(4), Oleg Konovalov(4), Christof Wöll(3), Ute Heinemeyer(3), C. Weber(3), Katharina Broch(3), C. Frank(3), Sylke Blumstengel(3), Manuel Gensler(3)