Results 151 to 160 of about 1,209 (228)

Comparison of modelling approaches for liquid fluidized beds

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study presents a comparison of three promising numerical models for the detailed simulation of liquid–solid fluidized bed. These models differ in their treatment of the solid phase, ranging from treating each particle individually to treating the collection of particles as a continuum.
Andreu Bernad‐Serra   +3 more
wiley   +1 more source

Comparative assessment of volume‐of‐fluid (VOF) multiphase solvers for viscoplastic flow over grooved patterned surfaces

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Accurately simulating multiphase flows at low capillary numbers remains challenging due to spurious currents and interface discretization errors. We present a systematic comparison of four volume‐of‐fluid (VOF) solvers within the OpenFOAM framework for pressure‐driven Poiseuille–Bingham flow over grooved surfaces: interFoam with classical ...
Amir Joulaei   +2 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

Optimal subsampling for regression with mixed‐type predictors

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley   +1 more source

Quenching the Hubbard Model: Comparison of Nonequilibrium Green's Function Methods

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT We benchmark nonequilibrium Green's function (NEGF) approaches for interaction quenches in the half‐filled Fermi–Hubbard model in one and two dimensions. We compare fully self‐consistent two‐time Kadanoff–Baym equations (KBE), the generalized Kadanoff–Baym ansatz (GKBA), and the recently developed NEGF‐based quantum fluctuations approach (NEGF‐
Jan‐Philip Joost   +3 more
wiley   +1 more source

Edge Fluid Turbulence Simulations of Stellarators With GRILLIX

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir   +4 more
wiley   +1 more source

2D Implementation of Kinetic‐Diffusion Monte Carlo in Eiron

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Particle‐based kinetic Monte Carlo simulations of neutral particles are one of the major computational bottlenecks in tokamak scrape‐off layer simulations. This computational cost comes from the need to resolve individual collision events in high‐collisional regimes.
Oskar Lappi   +3 more
wiley   +1 more source

Improved Conservative Scheme for Lenard‐Bernstein Collisions in Gyrokinetic Turbulence Simulations

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Turbulence in the edge and scrape‐off layer regions plays a critical role for the performance of future magnetic confinement fusion power plants. Gyrokinetic simulations allow studying this regime with high fidelity. A key aspect in these regions is the high concentration of impurities, which can radiate energy, leading to significant losses ...
Andrew Ivan Sulimro   +3 more
wiley   +1 more source

Velociraptor Machine Learning Quantifies Similarity to Known Cell Types and Matches Cells Across Flow and Imaging Cytometry Platforms

open access: yesCytometry Part A, EarlyView.
ABSTRACT Suspension flow cytometry enables high‐throughput cellular profiling at the single cell level, but these data lack positional information. Conversely, tissue‐based imaging cytometry techniques reveal a cell's location within the tissue architecture and can provide insight into cell biology.
Claire E. Cross   +3 more
wiley   +1 more source

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