## Publications

- Vlado Menkovski, Jim Portegies, Mahefa Ravelonanosy (2022).
*Small time asymptotics of the entropy of the heat kernel on a Riemannian manifold.*https://arxiv.org/abs/2209.11509 - Philipp Horn, Veronica Saz Ulibarrena, Barry Koren, Simon Portegies Zwart (2022).
*Structure-Preserving Neural Networks for the N-body Problem*. Proceedings ECCOMAS 2022 - Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi (2022).
*Towards a Numerical Proof of Turbulence Closure*. https://arxiv.org/abs/2202.09289 - Toby van Gastelen, Wouter Edeling, Benjamin Sanderse (2023).
*Energy-Conserving Neural Network for Turbulence Closure Modeling*. https://arxiv.org/abs/2301.13770

## Master Theses

- Hugo Melchers finished his master project at the Eindhoven University of Technology, supervised by multiple UNRAVEL researchers, with an outstanding thesis: Machine learning for closure models (pdf)

## Conferences

List of all conferences with contributions by researchers of the UNRAVEL project.

- Posters at the Woudschoten conference 2022 by
- Talk at the 3city seminar at TU Dortmund by Mahefa Ravelonanosy (slides)
- Talk at the 9th GACM Colloquium on Computational Mechanics 2022 by Philipp Horn (slides)
- Poster at JMBC symposium by Giulio Ortali (poster)
- Talks at the ECCOMAS congress 2022 by
- Talk at Turbulence and Interactions 2022 by Giulio Ortali (slides)
- Talk at the Lorentz workshop by Anna Shalova (slides)