Computer Modeling

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Illustration showing simulated rapid spread of H1N1 and COVID-19 via U.S. air travel across metro areas, highlighting key study findings.
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Simulations show H1N1 and COVID-19 spread through U.S. metro areas within weeks, with air travel a key driver

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Researchers at Columbia University’s Mailman School of Public Health used computer simulations to reconstruct how the 2009 H1N1 influenza pandemic and the 2020 COVID-19 pandemic expanded across U.S. metropolitan areas. The study, published in the Proceedings of the National Academy of Sciences, found that both viruses were already circulating widely in many cities within weeks, with air travel playing a larger role than daily commuting. The authors said broader wastewater surveillance, paired with infection-control measures, could help slow early spread in future outbreaks.

Researchers at the Perimeter Institute have created a new computational tool to model self-interacting dark matter, addressing a gap in previous simulations. This innovation allows for faster and more accurate studies of how such dark matter influences galaxy formation. The work, published in Physical Review Letters, could reveal insights into cosmic structures and black hole origins.

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A team led by Keiya Hirashima has created the first simulation of the Milky Way tracking over 100 billion individual stars across 10,000 years. By combining artificial intelligence with advanced numerical techniques, the model runs hundreds of times faster than previous methods. The breakthrough was presented at the SC '25 supercomputing conference.

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