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pro vyhledávání: '"Sharfuddin, Abdullah"'
Autor:
Atif, Mohammad, Dubey, Pulkit, Aghor, Pratik P., Lopez-Marrero, Vanessa, Zhang, Tao, Sharfuddin, Abdullah, Yu, Kwangmin, Yang, Fan, Ladeinde, Foluso, Liu, Yangang, Lin, Meifeng, Li, Lingda
High-fidelity direct numerical simulation of turbulent flows for most real-world applications remains an outstanding computational challenge. Several machine learning approaches have recently been proposed to alleviate the computational cost even tho
Externí odkaz:
http://arxiv.org/abs/2409.14660
Autor:
Atif, Mohammad, López-Marrero, Vanessa, Zhang, Tao, Sharfuddin, Abdullah Al Muti, Yu, Kwangmin, Yang, Jiaqi, Yang, Fan, Ladeinde, Foluso, Liu, Yangang, Lin, Meifeng, Li, Lingda
We present our ongoing work aimed at accelerating a particle-resolved direct numerical simulation model designed to study aerosol-cloud-turbulence interactions. The dynamical model consists of two main components - a set of fluid dynamics equations f
Externí odkaz:
http://arxiv.org/abs/2312.12412
Akademický článek
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Autor:
Liu, Yangang, Zhang, Tao, Yu, Kwang Min, Lopez-Marrero, Vanessa, Atif, Mohammad, Lin, Meifeng, Li, Lingda, Yang, Fan, Sharfuddin, Abdullah, Ladeinde, Foluso
Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Clouds continue to pose challenges to predict weather, climate and renewable energy due partly to knowledge gaps in microphysics-turbulence interactions. Particle-resolved direct numerical simulations (PR-DNS) that not only resolve the smallest turbu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21a73c049d9166f7868cf6ca6cc0a9d0
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019272
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019272