Output

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
  • Toby van Gastelen (poster)
  • Philipp Horn (poster)
• 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
  • Anna Shalova (slides)
  • Toby van Gastelen (slides)
  • Philipp Horn (slides)
• Talk at Turbulence and Interactions 2022 by Giulio Ortali (slides)
• Talk at the Lorentz workshop by Anna Shalova (slides)