Emulator of PR‐DNS: Accelerating Dynamical Fields With Neural Operators in Particle‐Resolved Direct Numerical Simulation

Emulator of PR‐DNS: Accelerating Dynamical Fields With Neural Operators in Particle‐Resolved Direct Numerical Simulation

Abstract Particle‐resolved direct numerical simulations (PR‐DNS) play an increasing role in investigating aerosol‐cloud‐turbulence interactions at the most fundamental level of processes. However, the high computational cost associated with high resolution simulations poses considerable challenges f...

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Bibliographic Details
Main Authors: Tao Zhang, Lingda Li, Vanessa López‐Marrero, Meifeng Lin, Yangang Liu, Fan Yang, Kwangmin Yu, Mohammad Atif
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-02-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
particle‐resolved DNS
machine learning
PDE
Online Access:https://doi.org/10.1029/2023MS003898

Internet

https://doi.org/10.1029/2023MS003898

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