Results 91 to 100 of about 67,243 (217)

SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes

open access: yesAdvanced Theory and Simulations, EarlyView.
The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley   +1 more source

A Theoretical Investigation on Coupled Mass‐charge Transport in a Binary Fluid

open access: yesAdvanced Theory and Simulations, EarlyView.
This study presents a theoretical framework for coupled mass‐charge transport in binary fluids using molecular dynamics simulations. By deriving governing equations from conservation laws and Onsager's theory, the approach introduces generalized diffusivity and electrostatic friction terms.
Antonio Cappai   +3 more
wiley   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

open access: yesAdvanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann   +5 more
wiley   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

open access: yesAdvanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain   +2 more
wiley   +1 more source

Towards efficient solutions: A novel approach to quadratic nonlinearity in boundary value problems. [PDF]

open access: yesPLoS One
Kouser S   +5 more
europepmc   +1 more source

Exploration of Half‐Cycle Length of Converging Circular Wavy Duct with Diverging‐Outlet: Turbulent Water Dynamics

open access: yesAdvanced Theory and Simulations, EarlyView.
Increasing half‐cycles intensifies turbulence due to enhanced vortex interactions and flow separation at the diverged‐outlets. Longer wavy ducts are shown to increase flow acceleration, resulting in greater output velocities and more turbulent‐kinetic‐energy production. Wave‐period plays a crucial role in determining turbulent intensity, with amplitude
I. L. Animasaun   +2 more
wiley   +1 more source

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