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Research Showcase
A Showcase of the breadth of innovation and research being conducted with the help of our infrastructure, and across all disciplines.


Metro 3 in Brussels under uncertainty: scenario-based accessibility analysis
Metro 3, a proposed north–south automated metro line in Brussels, has faced major delays and cost increases, rising from €0.85 billion in 2009 to €5–7 billion today. This study provides the first reproducible, scenario-based accessibility analysis of the project. Results show modest average travel-time gains but significant benefits for lower-income districts, with the full line improving both speed and reliability across the city.
1 hour ago3 min read


X-chromosome upregulation operates on a gene-by-gene basis at RNA and protein levels
Mammalian cells can increase the activity of the remaining copy of a gene when the other is deleted. This study shows that the active X chromosome performs this compensation on a gene-by-gene basis at both RNA and protein levels. The work clarifies how cells maintain balanced gene expression and reveals a broader, though limited, compensatory capacity across the genome.
Nov 172 min read


Flare Energetics, CME Launch and Heliospheric Propagation for the May 2024 Events, as Derived from Ensemble MHD Modelling
A team led by Professor Stefaan Poedts used VSC’s supercomputing power to model the May 2024 solar eruptions from the Sun to Earth. Through advanced MHD simulations, they revealed how magnetic energy buildup triggers solar flares and coronal mass ejections, improving space weather forecasts and contributing to more accurate predictions of geomagnetic storms.
Nov 53 min read


How Plasma Reaction Conditions Affect the Optimal Catalyst: A Microkinetic Study of Plasma-catalytic CO2 Splitting
Plasma catalysis offers a sustainable route to convert CO₂ into valuable chemicals using renewable electricity. Researchers used VSC’s computational resources to model plasma–catalyst interactions and reaction kinetics on glass and transition metal surfaces. Their findings reveal how catalyst choice and reaction conditions influence CO₂ splitting efficiency and product formation, advancing understanding of plasma-driven CO₂ conversion.
Oct 202 min read


Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
Researchers from KU Leuven and UHasselt demonstrated that personalized federated learning (PFL) can significantly improve predictions of disability progression in Multiple Sclerosis (MS). Using data from over 26,000 patients, the team developed novel approaches like AdaptiveDualBranchNet, balancing global collaboration with local adaptation. The work was made possible by the VSC’s high-performance infrastructure, enabling large-scale federated experiments.
Oct 64 min read


A systematic evaluation of Dutch large language models’ surprisal estimates in sentence, paragraph and book reading
Reading is shaped not only by word length and frequency but also by how predictable a word is in context. Using Dutch language models, researchers show that smaller models often predict reading times better and that predictability follows a logarithmic effect. With VSC’s computing power, large-scale analyses became possible, revealing new insights into how humans and machines process language.
Sep 223 min read


A new approach for a quantitative description of strongly correlated materials
Researchers from Ghent University have developed a new computational method that accurately predicts the exotic properties of strongly correlated materials, such as high-temperature superconductors. By combining downfolding techniques with tensor networks, and using the power of VSC supercomputing, the team achieved highly precise simulations of electronic structures—opening new paths for quantum devices and next-generation electronics.
Sep 113 min read


Measuring approximate functional dependencies: a comparative study
Functional dependencies describe strong relationships in relational databases, helping ensure data consistency and integrity. When data is incomplete or contains errors, approximate functional dependencies (AFDs) become essential to detect patterns that “almost hold.” This study evaluates multiple AFD measures, identifying effective methods for discovering hidden dependencies in real-world large-scale datasets.
Aug 254 min read


Homophily promotes stable connections in co-offending networks but limits information diffusion
Why do some offenders repeatedly team up with the same partners—and what does this mean for what they learn? This study uses agent-based modeling to explore how homophily, or the preference for similar partners, shapes co-offending networks. The findings show that while homophily fosters trust and stable ties, it also slows the flow of criminal skills across the network, revealing a trade-off between stability and broader learning.
Aug 82 min read


How do side branches in acute Type-B aortic dissections affect stabilization of the arterial wall? - Insights from an idealized fluid-solid interaction study
This study explores how side branches in acute Type-B aortic dissections affect pressure and wall stabilization using fluid-solid interaction (FSI) simulations. By modeling blood flow and tissue dynamics in an idealized aorta, the research reveals that side branches—especially from the false lumen—can increase systolic pressure and influence membrane displacement. High-performance computing at VSC enabled this complex analysis.
Jul 284 min read
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