Results 141 to 150 of about 91,586,058 (209)

A primer on variational inference for physics-informed deep generative modelling. [PDF]

Philos Trans A Math Phys Eng Sci
Glyn-Davies A, Vadeboncoeur A, Akyildiz OD, Kazlauskaite I, Girolami M.   +4 more
europepmc   +1 more source

Nanofluid Heat Transfer Enhancement in Porous Media With Geometric and Particle Morphology Effects

Engineering Reports, Volume 8, Issue 10, October 2026.
Levenberg–Marquardt neural network predicts Cu–water nanofluid flow and heat transfer in a converging/diverging porous channel with Darcy–Forchheimer drag, nanoparticle shape effects (sphere, column, lamina), and viscous dissipation. ABSTRACT Efficient thermal management in porous, nanofluid‐filled systems is essential for applications such as compact ...
Shafaq Naz, Saman Mushtaq
wiley   +1 more source

Heat Transfer Enhancement in the Microscale: Optimization of Fluid Flow

Engineering Reports, Volume 8, Issue 10, October 2026.
Microscale heat transfer deviates from conventional behavior due to scale effects and fluid properties. This review examines single‐phase convection and advanced working fluids, highlighting key mechanisms such as rarefaction, surface effects, and phase interactions, to guide optimized design of high‐performance microchannel heat exchangers.
Md Atiqur Rahman, Abhinav Adarsh, Dharani Kurri, Aishwarya Gittoju, Prabhu Paramasivam, S. M. Mozammil Hasnian, Abinet Gosaye Ayanie   +6 more
wiley   +1 more source

A least squares finite element method to multi-species modeling of negative DC corona discharges in point-to-plane configurations. [PDF]

Sci Rep
Majazi S, Sobhanian S, Ahmadi AR, Fard MM.   +3 more
europepmc   +1 more source

The Fractal Characteristics of Rough‐Fractured Rock Masses Based on THM Multi‐Field Coupling

Engineering Reports, Volume 8, Issue 10, October 2026.
This study constructs an intelligent Thermo‐Hydro‐Mechanical (THM) multi‐field coupling model for rough fractured rock masses. The innovation of the intelligent THM model lies in the integration of deep reinforcement learning and the adaptive fractal grid method.
Xiaolin Wu, Xiao Tang, Mingding Jin, Jiachun Li   +3 more
wiley   +1 more source

Enhanced Prediction of Heat Transfer and Frictional Drag Analysis in MHD Fluid Flow Using Fuzzy α‐Cut Parametric Sensitivity Analysis

Engineering Reports, Volume 8, Issue 10, October 2026.
The MHD Williamson fluid flow across a stretching surface is investigated under parametric uncertainty utilizing triangular fuzzy numbers. Fuzzification provides smoother transitions and better predictions of velocity, temperature, skin friction, and heat transfer than traditional crisp models.
R. Lakshana, A. David Maxim Gururaj
wiley   +1 more source

Signal‐To‐Noise Ratio Approach for Optimizing Heat Transfer Enhancement in Off Centered Stagnation Point Flow of an Incompressible Tetra‐Hybrid Nanofluid

Engineering Reports, Volume 8, Issue 10, October 2026.
Tetra hybrid nanofluid is a new generation of nanofluid, which consists of four different types of nanoparticles suspended in a base fluid. The multi‐nanoparticles have superior thermal conductivity, improved heat transfer capability, enhanced stability, and better rheological performance than the conventional nanofluids and hybrid nanofluids.
K. R. Milana, Vijaya Kumar, Shahbaz Juneja, Reetu Sheoran, M. Umeshaiah, P. Siva Kota Reddy, Hakeem A. Othman   +6 more
wiley   +1 more source

Using Physics‐Informed Neural Networks to Predict the Damage in Single Particle Models for Li‐Ion Batteries Active Materials

Energy Technology, Volume 14, Issue 10, October 2026.
Understanding microscale degradation in lithium‐ion cathode materials requires capturing coupled diffusion, mechanics, and damage processes. This study presents a 1D single‐particle model with phase‐field damage, solved using a Physics‐Informed Neural Network. The results show that, for the lithiation process of NMC622, high lithiation levels and large
Nikolai Erhardt, Tim Laufer, Hermann Nirschl   +2 more
wiley   +1 more source

The genetic architecture of epilepsy across molecular mechanisms and clinical heterogeneity

Epilepsia Open, Volume 11, Issue 5, Page 1395-1412, October 2026.
Abstract Epilepsy comprises a highly heterogeneous group of neurological disorders unified by a persistent predisposition to recurrent seizures, yet driven by remarkably diverse genetic, molecular, and network‐level mechanisms. Advances in genomic technologies have revealed that epilepsy arises from a multilayered genetic architecture encompassing rare
Mohammad Reza Seyedtaghia, Jina Babanzadeh, Marcello Scala, Lorenzo Perilli, Pasquale Striano   +4 more
wiley   +1 more source

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, Volume 98, Issue 10, Page 1165-1180, October 2026.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source