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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.

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.

The PIDGIN Project at Hasselt University combines pathology, biomedical sciences, oncology, and data science to improve lung cancer diagnosis through AI and high-performance computing. By digitizing tissue slides and analyzing them at the pixel level, researchers can detect patterns invisible to the human eye. With VSC’s Tier-1 infrastructure, the team achieves faster, more accurate, and reproducible diagnoses, paving the way for personalized treatments.

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.

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.

Topology optimization unlocks lightweight, high-performance designs, but poor connectivity often limits manufacturability and reliability. This review explores methods to promote structural continuity, comparing physics- and geometry-based approaches, and offering practical guidelines to bridge the gap between theory and real-world engineering.

Millions of today’s children face unprecedented lifetime exposure to heatwaves, floods, droughts, and storms if global warming reaches 3.5 °C. Deep emission cuts to meet the Paris 1.5 °C goal could protect millions. Urgent climate action is needed to safeguard children’s futures worldwide.

Researchers from Ghent University and VUB are digitizing Congo Basin weather records (1907–1960) using human-in-the-loop AI. By combining OCR models, vision-language tools, and expert corrections—with the help of VSC supercomputing—they’ve achieved high accuracy in transcribing complex handwritten climate tables. The study highlights the power of AI-human collaboration in preserving historical data.

We investigate the rotational excitation of vinyl cyanide, a complex organic molecule detected in interstellar space. Using high-level quantum chemistry and HPC, we compute collisional cross-sections and rate coefficients critical for modeling astrophysical environments like Sagittarius B2. This work advances our understanding of chemical complexity in the cosmos.

Genetic diversity is vital for species survival, yet not all wild cats possess it equally. By analyzing genome data from 39 felid species, researchers revealed that cats with large ranges and high population density—like ocelots—harbour more genetic diversity than rare, low-density species like the Asiatic lion. This large-scale study was powered by the Flemish Supercomputer Centre (VSC).

This study presents a computational model combining perceptual and generalization theories to explore how humans transfer learned fear to new situations. Using Pavlovian fear conditioning data, it reveals dynamic individual differences in perception that shape behavior. By modeling perception as probabilistic and ever-changing, the research highlights the need to rethink how mental representations influence generalization.

Hydrogen can weaken metals by causing internal cracks, a problem known as hydrogen embrittlement. Using advanced simulations and digital twins, researchers modeled how hydrogen moves through metallic microstructures. Their findings reveal a new inward diffusion mechanism, challenging classical theories and offering fresh insights for safer hydrogen-based technologies.

From excavation to data lab: This gallery captures the Sint-Truiden paleogenomics project — where over 3,000 medieval burials were unearthed and analysed. Behind each image lies a story of meticulous archaeology, DNA research, and high-performance computing powered by VSC.