Results 91 to 100 of about 2,370 (192)

Towards the KPP--Problem and Log-Front Shift for Higher-Order Nonlinear PDEs I. Bi-Harmonic and Other Parabolic Equations

, 2012
Some extensions of the KPP idelogy of 1937 and more recent results to higher-order semilinear parabolic equations are ...
openaire   +2 more sources

Modeling and Analysis of Nonlinear Radiative and Electromagnetic Effects With Second‐Order Slip in Unsteady Hybrid Nanofluid Flow Past a Porous Stretching Surface

Engineering Reports, Volume 8, Issue 8, August 2026.
The current work examines the dynamics of the stagnation point flow of an unsteady hybrid nanofluid (Fe2O3–Cu/H2O) across an inclined porous stretching surface. It considers heat transfer, second‐order slip, electrical field, heat source/sink, mixed convection, and magnetic field effects, as well as linear and nonlinear radiation.
Mazhar Hussain, Sadia Hameed, Muhammad Zohaib Hanif, Mubashir Qayyum, Saraswati Acharya   +4 more
wiley   +1 more source

Towards the KPP-Problem and log t-Front shift for Higher-Order Nonlinear PDEs II. Quasilinear Bi- and Tri-Harmonic Equations

, 2012
It is shows that some aspects of classic KPP-problem (1937) can be extended to some fourth and sixth-order quasilinear parabolic equations.
openaire   +2 more sources

Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations

Engineering Reports, Volume 8, Issue 8, August 2026.
A Physics Constraint‐Guided Network (PCGN) is proposed to solve partial differential equations by integrating physical encoding, adaptive residual balancing, and constraint projection. The framework enables stable constraint propagation, improves physical consistency, and achieves higher accuracy and robustness compared with existing neural network ...
Zhihui Hou, Yaxu Peng
wiley   +1 more source

Comparative approach of Darcy–Forchheimer flow on water based hybrid nanofluid (Cu-Al2O3) and mono nanofluid (Cu) over a stretched surface with injection/suction

Partial Differential Equations in Applied Mathematics
The hybrid nanofluids are crucial for enhancing heat transfer efficiency in different technological and industrial operations like nuclear reactor cooling, fuel cells, drug delivery systems, etc. Taking this factor into account, the current investigation
R. Sindhu, S. Eswaramoorthi, K. Loganathan, Reema Jain   +3 more
doaj   +1 more source

Computational Investigation of MHD Radiative Flow of Shape‐Dependent Al2O3$$ A{l}_2{O}_3 $$ and Fe3O4$$ F{e}_3{O}_4 $$ Nanofluids in A Semi‐Porous Channel

Engineering Reports, Volume 8, Issue 8, August 2026.
A computational study of unsteady MHD radiative nanofluid flow in a semi‐porous channel reveals that nanoparticle shape, volume fraction, and magnetic effects significantly influence velocity and heat transfer. Results highlight strong coupling between geometric, electromagnetic, and thermophysical parameters in optimizing thermal system performance ...
Mahmmoud M. Syam, Sondos M. Syam, Muhammed I. Syam   +2 more
wiley   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, Volume 14, Issue 8, Page 3697-3725, August 2026.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Characteristics of thermal radiation on Darcy-Forchheimer flow of trihybrid nanofluid over Riga plate with bioconvection and viscous dissipation

Journal of Radiation Research and Applied Sciences
The purpose of this research is to inspect the characteristics of heat generation on Darcy-Forchheimer flow of Al2O3+TiO2+COFe2O4/ water based trihybrid in the presence of Oxytactic and gyrotactic microbes through a Riga plate with viscous dissipation ...
Y. Khan, Munawar Abbas, Talib K. Ibrahim, Nahid Fatima, Mohammed A. Tashkandi, A. Alameer, Saba Liaqat, Lioua Kolsi, Ahmed M. Galal   +8 more
doaj   +1 more source

Modeling Transient Flow in Heterogeneous Aquifers With the Mixed Pressure‐Velocity Formulation of Physics Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha, Marwan Fahs, Hussein Hoteit, Thomas Nagel, François Lehmann   +4 more
wiley   +1 more source

Viscous dissipative ternary nanoparticles on heat transfer enhancement in MHD flow over a stretching surface

International Journal of Thermofluids
A barrier that researchers and scientists are currently trying to overcome is the low thermal conductivity that occurs during heat transmission procedures. As a result, researchers are taking steps to improve the base fluid thermal conductivity by mixing
Talha Anwar, Syed Arshad Abas, Mehreen Fiza, Hakeem Ullah, Seham M. Al-Mekhlafi   +4 more
doaj   +1 more source