Leveraging the Supercomputer Fugaku for the Assessment of Droplet/Aerosol Transmission Risks in COVID‐19 Mitigation Efforts
Rahul Bale,
Makoto Tsubokura
Abstract:This work delves into the significant advancements in epidemiological modeling and public health policy driven by detailed, quantitative analyses of COVID‐19 aerosol transmission utilizing the capabilities of the supercomputer Fugaku, the world's fastest supercomputer in 2020. By integrating novel computational fluid dynamics (CFD) techniques integrated in the multi‐physics solver CUBE, we achieved scalable, high‐resolution simulations essential for modeling micrometer‐sized virus‐containing aerosols, revoluti… Show more
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