PHI-SMFE: spatial multi-scale feature extract neural network based on physical heterogeneous interaction for solving passive scalar advection in a 2-D unsteady flow

TSI-SD: A time-sequence-involved space discretization neural network for passive scalar advection in a two-dimensional unsteady flow

(2023) Ning Song et al.   Frontiers in Marine Science

Multi-Scale Numerical Assessments of Urban Wind Resource Using Coupled WRF-BEP and RANS Simulation: A Case Study

(2022) Lihua Mi et al.   Atmosphere

Deep Learning Method Based on Physics Informed Neural Network with Resnet Block for Solving Fluid Flow Problems

(2021) Chen Cheng et al.   Water

Machine learning–accelerated computational fluid dynamics

(2021) Dmitrii Kochkov et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Learned discretizations for passive scalar advection in a two-dimensional turbulent flow

(2021) Jiawei Zhuang et al.   Physical Review Fluids

Random-forest based adjusting method for wind forecast of WRF model

(2021) Anxi Wang et al.   COMPUTERS & GEOSCIENCES

Numerical analysis of particle dispersion and deposition in coal combustion using large-eddy simulation

(2021) Min-min Zhou et al.   FUEL

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

Influence of Intermittent Turbulence on Air Pollution and Its Dispersion in Winter 2016/2017 over Beijing, China

(2020) Wei Wei et al.   Journal of Meteorological Research

Large Eddy Simulation of Pre-Chamber Ignition in an Internal Combustion Engine

(2019) Quentin Malé et al.   FLOW TURBULENCE AND COMBUSTION

Learning data-driven discretizations for partial differential equations

(2019) Yohai Bar-Sinai et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Comparison of Measured and Numerically Simulated Turbulence Statistics in a Convective Boundary Layer Over Complex Terrain

(2016) Raj K. Rai et al.   BOUNDARY-LAYER METEOROLOGY

A Case Study of Radar Observations and WRF LES Simulations of the Impact of Ground-Based Glaciogenic Seeding on Orographic Clouds and Precipitation. Part II: AgI Dispersion and Seeding Signals Simulated by WRF

(2016) Lulin Xue et al.   Journal of Applied Meteorology and Climatology

Large-eddy simulation: Past, present and the future

(2015) Yang Zhiyin   Chinese Journal of Aeronautics

Deep learning

(2015) Yann LeCun et al.   NATURE

Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty

(2015) J. Ling et al.   PHYSICS OF FLUIDS

Turbulent effects on the microphysics and initiation of warm rain in deep convective clouds: 2-D simulations by a spectral mixed-phase microphysics cloud model

(2012) N. Benmoshe et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Two-Dimensional Turbulence

(2011) Guido Boffetta et al.   Annual Review of Fluid Mechanics

Simultaneous nested modeling from the synoptic scale to the LES scale for wind energy applications

(2011) Yubao Liu et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

A unified framework for the numerical solution of optimal control problems using pseudospectral methods

(2010) Divya Garg et al.   AUTOMATICA

A direct-forcing embedded-boundary method with adaptive mesh refinement for fluid–structure interaction problems

(2010) Marcos Vanella et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Reynolds-Averaged Navier–Stokes Equations for Turbulence Modeling

(2009) Giancarlo Alfonsi   Applied Mechanics Reviews