How to reduce the long term complications -like kidney disfunction and reduced exercise ability- after Fontan completion surgery? In the TOPGraft project, we aim to address this challenge by developing an expandable graft that accommodates somatic growth, helping to...

Niksa Mohammadi Bagheri, Gábor Závodszky & Alfons Hoekstra have published a new paper in Plos One on the flow dynamics of porous blood clots.

Figure 1 showcases the evolution of first-level disciplines over time, clearly illustrating the rise of machine learning and the decline of other areas. The research documents a significant shift in computational science priorities, with machine learning and AI topics...

On the occasion of the 25-year anniversary of the International Conference on Computational Science (ICCS), Computational Science NL has interviewed Peter Sloot, (emeritus) professor at the University of Amsterdam and Nanyang Technological University (Singapore), and...

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.