Field equations for incompressible non-viscous fluids using artificial intelligence

2021 ◽  
Author(s):  
P. C. Karthik ◽  
J. Sasikumar ◽  
M. Baskar ◽  
E. Poovammal ◽  
P. Kalyanasundaram
Keyword(s):  
Artificial Intelligence ◽  
Viscous Fluids ◽  
Field Equations

Impact of f(R,T) gravity in evolution of charged viscous fluids

2021 ◽  
Vol 30 (04) ◽  
pp. 2150027
Author(s):  
I. Noureen ◽  
Usman-ul-Haq ◽  
S. A. Mardan
Keyword(s):  
Stability Analysis ◽  
Energy Momentum Tensor ◽  
Momentum Tensor ◽  
Viscous Fluids ◽  
Fluid Distribution ◽  
Perturbation Scheme ◽  
Field Equations ◽  
Dynamical Equations ◽  
Stability Of Stars ◽  
The Stability

In this work, the evolution of spherically symmetric charged anisotropic viscous fluids is discussed in framework of [Formula: see text] gravity. In order to conduct the analysis, modified Einstein Maxwell field equations are constructed. Nonzero divergence of modified energy momentum tensor is taken that implicates dynamical equations. The perturbation scheme is applied to dynamical equations for stability analysis. The stability analysis is carried out in Newtonian and post-Newtonian limits. It is observed that charge, fluid distribution, electromagnetic field, viscosity and mass of the celestial objects greatly affect the collapsing process as well as stability of stars.

scholarly journals Neural network forecasting of the flow regimens of viscous fluids in a 3D reactor

2021 ◽  
Vol 13 (3) ◽  
pp. 168781402199952
Author(s):  
Ayesha Sohail ◽  
Maryam Noor ◽  
Shabieh Farwa ◽  
Zhiwu Li ◽  
Sundas Akbar
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Finite Element ◽  
Artificial Neural Networks ◽  
Transient Analysis ◽  
Research Work ◽  
Viscous Fluids ◽  
Flow Through ◽  
Turbulent Reactor

In this research work, the turbulence in fluid flow through a turbulent reactor is investigated. The research was conducted in three steps; modeling, simulations and future forecasting for longer times, where numerical solvers fail to simulate the robust dynamics of turbulence. Advanced finite element solvers are used for the numerical simulations and for the forecasting purpose, artificial neural networks are used. Artificial intelligence is deployed for the transient analysis for longer times, where numerical solvers fail. Results are presented with the aid of tables and video graphic footage.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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