Publications

SyConn2: dense synaptic connectivity inference for volume electron microscopyPhilipp J Schubert, Sven Dorkenwald, Michał Januszewski, Jonathan Klimesch, Fabian Svara, Andrei Mancu, Hashir Ahmad, M. Fee, Viren Jain, Joergen Kornfeld

2022 | Nature Methods

SyConn2, an open-source connectome analysis toolkit, is introduced, which works with both on-site high-performance compute environments and rentable cloud computing clusters, and provides a web-based visualization interface that makes these data amenable to complex anatomical and neuronal connectivity queries.

Simulating Liquids with Graph NetworksJonathan Klimesch, Philipp Holl, Nils Thuerey

The results indicate that learning models, such as GNNs, fail to learn the exact underlying dynamics unless the training set is devoid of any other problem-specific correlations that could be used as shortcuts.

Visualization of laminar-turbulent transition on rotating turbine bladesStefan von Hoesslin, Juergen Gruendmayer, A. Zeisberger, M. Sommer, Jonathan Klimesch, S. Behre, H. Brandies, C. Kähler

2020 | Experiments in Fluids

In this study, Temperature Decline Thermography was enhanced and qualified for use on rotating blades in gas turbines. For the first time, a proof of concept is provided for flow visualization on stationary vanes and rotating blades under realistic flow conditions.