Results 141 to 150 of about 173,975,381 (346)
Stochastic Homogenization of Quasilinear PDEs with a Spatial Degeneracy [PDF]
International audienceWe investigate stochastic homogenization for some degenerate quasilinear pa rabolic PDEs. The underlying nonlinear operator degenerates along the space variable, uniformly in the nonlinear term: the degeneracy points correspond to ...
Delarue, François, Rhodes, Rémi
core +1 more source
The novelty of the current study is that the unsteady MHD Cross nanofluid model is, for the first time, coupled with the melting heat transfer at the stagnation point over a horizontally extended cylinder in a Darcy–Forchheimer porous medium. This work connects complex rheological behaviors and phase‐change phenomena in a unique way, with the only ...
Fahad Maqbul Alamrani +6 more
wiley +1 more source
A wide range of real-world applications have proven the importance of non-Newtonian fluids near a wedge, including the oil and gas industry, the aerospace sector.
P. M. Patil, Bharath Goudar
doaj +1 more source
Hamiltonian PDEs: new connections between dynamical systems and PDEs with small divisors phenomena
Many partial differential equations arising in physics can be seen as infinite dimensional Hamiltonian systems. Main examples are the nonlinear wave equation, the nonlinear Schrödinger equation, the beam, the membrane and the Kirkhoff equations in ...
BERTI, MASSIMILIANO
core
Formed ~1.4 Ga, the carbonate reservoir of the Jixian System is a key geothermal reservoir in northern China. Differential basin–mountain evolution since the Cenozoic led to distinct reservoir‐forming histories; consequently, this same reservoir shows marked productivity contrasts between intramontane basins and the large rift Bohai Bay Basin ...
Chuanqing Zhu +6 more
wiley +1 more source
This study develops a spatial and technical framework to evaluate hydrokinetic energy potential in the Amazon as a sustainable alternative to diesel‐based systems. By modeling regional resources, we demonstrate that hydrokinetic sources offer a cleaner, economically competitive solution for displacing fossil fuels in remote riverine communities ...
Ana Cláudia Pinto Ferraz +4 more
wiley +1 more source
(A) Mount number, (B) mount latency, (C) intromission number, and (D) intromission latency are the parameters of sexual behavior. Met = metformin. D100 = 100 Donkwa. D90G10 = 90% Donkwa + 10% Goron‐Tula. D85G15 = 85% Donkwa + 15% Goron‐Tula. D80G20 = 80% Donkwa + 20% Goron‐Tula. The mean ± standard error of the mean (SEM) expressed the results. *Values
O. T. Mamukuyomi +2 more
wiley +1 more source
ABSTRACT Background Near‐infrared (NIR) fluorescence‐guided surgery using EGFR‐targeted tracers (e.g., panitumumab‐IRDye800CW) can provide real‐time visualization of tumors and margins in Head and Neck Squamous Cell Carcinoma. Prior studies have demonstrated its safety and potential to improve intraoperative decision‐making and margin assessment ...
Makenna Brown +7 more
wiley +1 more source
A unified framework for the error analysis of physics-informed neural networks
We prove a priori and a posteriori error estimates for physics-informed neural networks (PINNs) for linear PDEs. We analyze elliptic equations in primal and mixed form, elasticity, parabolic, hyperbolic and Stokes equations, and a PDE constrained ...
Marius Zeinhofer, Rami Masri, K. Mardal
semanticscholar +1 more source
Robust deep learning on graphs using neural PDEs
Neural Partial Differential Equations(Neural PDEs) offer a data-driven method for modeling and solving high-dimensional PDE problems by combining the robust representation capabilities of deep learning with the traditional framework of partial ...
Gui, Pengzhe
core

