Journal Entropy featured our recent publication as a cover for the Special Issue 180th Anniversary of Ludwig Boltzmann.
This paper examines noise-induced transitions in complex networks, identifying two key node roles: initiators, which propagate short-lived fluctuations to destabilize the system, and stabilizers, which encode long-term memory to restore stability. Using information-theoretic metrics, the study reveals a “domino effect” where noise cascades from low-degree to high-degree nodes, driving metastable transitions and tipping points. Our findings provide a framework for predicting and controlling critical transitions in systems like neural networks, ecosystems, and social dynamics.

We analyzed 7826 publications from the International Conference on Computational Science (ICCS) between 2001 and 2023 using natural language processing and network analysis. We categorized computer science into 13 main disciplines and 102 sub-disciplines. After...

Dongwei Ye, Valeria Krzhizhanovskaya, and Alfons Hoekstra published a paper in Journal of Computational Physics on "Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots" Parametric reduced-order modelling often serves as a...

The Visualisation Lab, together with researchers and therapists from Stichting Steun Emma Kinderziekenhuis, Amsterdam UMC, and Levvel have started a crowd funding campaign to help them develop a VR tool for children who are too afraid to talk. For more information and...

Christian Spieker, Gábor Závodszky & Alfons Hoekstra have published a new paper in Physics of Fluids that became a featured article and was published in combination with a Scilight article.