Alexander Gerlach

According to our database, Alexander Gerlach authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation.

Vladimir Starostin, Maximilian Dax, Alexander Gerlach, Alexander Hinderhofer, Álvaro Tejero-Cantero, Frank Schreiber

CoRR, 2024

2023

Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem.

Valentin Munteanu, Vladimir Starostin, Alessandro Greco, Linus Pithan, Alexander Gerlach, Alexander Hinderhofer, Stefan Kowarik, Frank Schreiber

CoRR, 2023

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

Linus Pithan, Vladimir Starostin, David Marecek, Lukas Petersdorf, Constantin Völter, Valentin Munteanu, Maciej Jankowski, Oleg Konovalov, Alexander Gerlach, Alexander Hinderhofer, Bridget M. Murphy, Stefan Kowarik, Frank Schreiber

CoRR, 2023

2022

Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data.

Vladimir Starostin, Valentin Munteanu, Alessandro Greco, Ekaterina Kneschaurek, Alina Pleli, Florian Bertram, Alexander Gerlach, Alexander Hinderhofer, Frank Schreiber

CoRR, 2022

2021

Neural network analysis of neutron and x-ray reflectivity data: pathological cases, performance and perspectives.

Alessandro Greco, Vladimir Starostin, Alexander Hinderhofer, Alexander Gerlach, Maximilian W. A. Skoda, Stefan Kowarik, Frank Schreiber

Mach. Learn. Sci. Technol., 2021

2019

Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks.

Alessandro Greco, Vladimir Starostin, Christos Karapanagiotis, Alexander Hinderhofer, Alexander Gerlach, Linus Pithan, Sascha Liehr, Frank Schreiber, Stefan Kowarik

CoRR, 2019