• 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)


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)