• Corpus ID: 239024492

Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19

@article{Ando2021DigitalTO,
  title={Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19},
  author={Kazuto Ando and Rahul Bale and ChungGang Li and Satoshi Matsuoka and Keiji Onishi and Makoto Tsubokura},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.09769}
}
The fastest supercomputer in 2020, Fugaku, has not only achieved digital transformation of epidemiology in allowing end-to-end, detailed quantitative modeling of COVID-19 transmissions for the first time, but also transformed the behavior of the entire Japanese public through its detailed analysis of transmission risks in multitudes of societal situations entailing heavy risks. A novel aerosol simulation methodology was synthesized out of a combination of a new CFD methods meeting industrial… 

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