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{"title":"利用超级计算机 Fugaku 评估 COVID-19 缓解工作中的飞沫/气溶胶传播风险","authors":"Rahul Bale, Makoto Tsubokura","doi":"10.1002/tee.24091","DOIUrl":null,"url":null,"abstract":"<p>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, revolutionizing our understanding of transmission risks in various societal contexts. This innovation significantly reduced the time-to-solution for these intricate simulations and allowed for the quick creation of digital twins that captured a broad range of social scenarios with substantial transmission risks. These efforts required a significant amount of computational resources, which were provided for through Fugaku, during COVID-19. The detailed transmission risk assessments that were produced through this work had a significant impact on public health policies and public behavior throughout Japan, exemplifying a pivotal shift in the digital transformation of epidemiology and the proactive management of pandemic-related challenges. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 7","pages":"1118-1131"},"PeriodicalIF":1.0000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.24091","citationCount":"0","resultStr":"{\"title\":\"Leveraging the Supercomputer Fugaku for the Assessment of Droplet/Aerosol Transmission Risks in COVID-19 Mitigation Efforts\",\"authors\":\"Rahul Bale, Makoto Tsubokura\",\"doi\":\"10.1002/tee.24091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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, revolutionizing our understanding of transmission risks in various societal contexts. This innovation significantly reduced the time-to-solution for these intricate simulations and allowed for the quick creation of digital twins that captured a broad range of social scenarios with substantial transmission risks. These efforts required a significant amount of computational resources, which were provided for through Fugaku, during COVID-19. The detailed transmission risk assessments that were produced through this work had a significant impact on public health policies and public behavior throughout Japan, exemplifying a pivotal shift in the digital transformation of epidemiology and the proactive management of pandemic-related challenges. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>\",\"PeriodicalId\":13435,\"journal\":{\"name\":\"IEEJ Transactions on Electrical and Electronic Engineering\",\"volume\":\"19 7\",\"pages\":\"1118-1131\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.24091\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEJ Transactions on Electrical and Electronic Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/tee.24091\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.24091","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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