Machine learning based approach to fluid dynamics
@inproceedings{Taradiy2021MachineLB,
title={Machine learning based approach to fluid dynamics},
author={Kirill Taradiy and Kai Zhou and Jan Steinheimer and R. V. Poberezhnyuk and Volodymyr Vovchenko and Horst Stoecker},
year={2021}
}Kirill Taradiy, 2 Kai Zhou, Jan Steinheimer, Roman V. Poberezhnyuk, 1 Volodymyr Vovchenko, and Horst Stoecker 5, 6 Frankfurt Institute for Advanced Studies, Giersch Science Center, D-60438 Frankfurt am Main, Germany Xidian-FIAS International Joint Research Center, Giersch Science Center, D-60438 Frankfurt am Main, Germany Bogolyubov Institute for Theoretical Physics, 03680 Kyiv, Ukraine Nuclear Science Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720…
Figures from this paper
References
SHOWING 1-10 OF 42 REFERENCES
Riemann Solvers and Numerical Methods for Fluid Dynamics
- Mathematics
- 1997
Note: Includes references and index Reference Record created on 2004-09-07, modified on 2016-08-08
Smoothed Particle Hydrodynamics: A Meshfree Particle Method
- Engineering
- 2003
SPH Concept and Essential Formulation Constructing Smoothing Functions SPH for General Dynamic Fluid Flows Discontinuous SPH (DSPH) SPH for Simulating Explosions SPH for Underwater Explosion Shock…
Reviews of modern physics 61
- 75
- 1989
(IEEE Transactions on Neural Networks,12(6):1498-1504)A Remote Password Authentication Scheme for Multi-Server Architecture Using Neural Network
- Computer Science
- 2001
Gpu gems 2: programming techniques for high-performance graphics and general-purpose computation
- Computer Science
- 2005
This sequel to the best-selling, first volume of GPU Gems details the latest programming techniques for today's graphics processing units (GPUs).
SPECIAL FUNCTIONS
- Mathematics
- 1964
___________________ ___________________ ___________________ ___________________ ___________________ ___________________ ___________ ___________ ___________________ ___________ ___________________…
Int
- J. Mod. Phys. A 28, 1340011
- 2013
Rept
- Prog. Phys. 80, 096901
- 2017