Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations
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
Optimization of fin design and nanoparticle doping for accelerated PCM melting. [PDF]
Belazreg A +5 more
europepmc +1 more source
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 +2 more
wiley +1 more source
Thermal enhancement of ternary hybrid Casson nanofluid in porous media: a sensitivity analysis study. [PDF]
Kenea G, Ibrahim W.
europepmc +1 more source
Advancements and Challenges in Liquid Hydrogen Storage Tank Design for Maritime Applications
ABSTRACT In line with the Paris Agreement and the IMO's decarbonization goals, the shipping industry has begun to focus more intensively on adopting alternative fuels to reduce emissions. Among these, hydrogen has attracted considerable attention, with liquid hydrogen (LH2) offering advantages in energy density and storage volume over compressed gas ...
Sera Ayten Çetinkaya +3 more
wiley +1 more source
Machine learning-assisted thermal analysis of propylene glycol nanofluid with dual flux and bioconvection over a Riga plate. [PDF]
Aslam MN +5 more
europepmc +1 more source
Fast Calculation for the Flow and Heat Transfer of Tempered Fractional Maxwell Viscoelastic Fluid
This study develops a tempered fractional Maxwell model to simulate unsteady thermal flow in viscoelastic fluids, capturing key rheological behaviors. A fast SOE‐based algorithm is proposed to improve the computational efficiency of the numerical scheme. Results reveal how key parameters influence fluid motion and heat transfer, demonstrating the model'
Yi Liu, Mochen Jiang, Libo Feng
wiley +1 more source
Thermal radiation and viscous dissipation impact on 2D MHD Williamson ternary hybrid nanofluid flow over a stretching surface. [PDF]
Rehman A +5 more
europepmc +1 more source
Abstract Greenhouse gas (GHG) emissions from freshwater ecosystems contribute significantly to global carbon budgets, yet they remain poorly constrained due to limited high‐frequency measurements. We tested a low‐cost, high‐frequency GHG measurement system in a long‐term mesocosm experiment in Lemming, Denmark, over a 7‐month period, focusing on CO2 ...
Tuba Bucak +6 more
wiley +1 more source
Significance of oscillatory TiO<sub>2</sub>-water nanofluid and heat transfer performance over vertical magnetized flat plate using artificial neural network. [PDF]
Ullah Z +7 more
europepmc +1 more source

