Abstract We compare three global kilometer‐scale models (ICON, IFS and NICAM) to clarify the advantages and challenges of high‐resolution global weather and climate modeling, using different approaches to represent convection, from fully parameterized to fully explicit.
Daisuke Takasuka +2 more
wiley +1 more source
Achieving upper-branch steady-state solutions for inerter-damped cable parametric vibration via targeted runge-kutta initial conditions. [PDF]
Guo Z, Xu S, Tang X, Yao G.
europepmc +1 more source
Runge-Kutta time semidiscretizations of semilinear PDEs with non-smooth data. [PDF]
Wulff C, Evans C.
europepmc +1 more source
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha +5 more
wiley +1 more source
Multi-strategy improved runge kutta optimizer and its promise to estimate the model parameters of solar photovoltaic modules. [PDF]
Ekinci S +3 more
europepmc +1 more source
Comparison of reduced models for blood flow using Runge-Kutta discontinuous Galerkin methods. [PDF]
Puelz C +3 more
europepmc +1 more source
Abstract Lattice Boltzmann (LB) modeling has been extensively applied to porous media processes, including evaporation. Former pore‐scale LB models for evaporation rely on oversimplified assumptions, such as matched viscosities. However, in subsurface CO2 ${\text{CO}}_{2}$–brine systems, the viscosity ratio can exceed 100 under relevant temperature ...
Saleh Mohammadrezaei +2 more
wiley +1 more source
Retraction notice to "Examination of bio convection with nanoparticles containing microorganisms under the influence of magnetism fields on vertical sheets by five-order Runge-Kutta method" [Heliyon 9 (2023) e15982]. [PDF]
Fathollahi R +5 more
europepmc +1 more source
Numerical Study of a Nonlocal Nonlinear Schrödinger Equation (MMT Model)
ABSTRACT In this paper, we study a nonlocal nonlinear Schrödinger equation (MMT model). We investigate the effect of the nonlocal operator appearing in the nonlinearity on the long‐term behavior of solutions, and we identify the conditions under which the solutions of the Cauchy problem associated with this equation are bounded globally in time in the ...
Amin Esfahani, Gulcin M. Muslu
wiley +1 more source
Runge-Kutta 4th-order method analysis for viscoelastic Oldroyd 8-constant fluid used as coating material for wire with temperature dependent viscosity. [PDF]
Khan Z +4 more
europepmc +1 more source

