Results 131 to 140 of about 12,484,135 (293)
A Fast Sparse Recovery Algorithm for Compressed Sensing Using Approximate l₀ Norm and Modified Newton Method. [PDF]
Materials (Basel), 2019 Jin D, Yang Y, Ge T, Wu D.
europepmc +1 more source
Comparison of modelling approaches for liquid fluidized beds
The 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
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The Canadian Journal of Chemical Engineering, EarlyView.We clarify how Gibbs‐energy‐minimization models for aqueous‐amine CO2 capture fail when conservation constraints and concentration conventions are inconsistent. Exact standard‐state conversions and Reaktoro case studies show that P(CO2)‐loading fits can mask non‐unique parameters and wrong speciation, motivating complete water‐inclusive formulations ...
William R. Smith +2 more
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An Efficient Limited Memory Multi-Step Quasi-Newton Method
MathematicsThis paper is dedicated to the development of a novel class of quasi-Newton techniques tailored to address computational challenges posed by memory constraints. Such methodologies are commonly referred to as “limited” memory methods.
Issam A. R. Moghrabi, Basim A. Hassan
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Preventing wall deposition in duct flows: The role of particle number density and flow direction
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Particle deposition in wall‐bounded turbulent flows is a challenge in many industries, including pneumatic conveying, filtration, and related applications. When particles accumulate near boundaries, they reduce transport efficiency, alter near‐wall flow structures, and cause blockage.
Gizem Ozler, Holger Grosshans
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The Canadian Journal of Chemical Engineering, EarlyView.Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
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A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
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Iterative methods for solving quadratic Volterra integral equations of the first kind
Известия высших учебных заведений. Поволжский регион: Физико-математические наукиBackground. The paper is devoted to the numerical study of integral equations of the first kind with quadratic nonlinearity, which are part of the generalized Volterra integropower series and describe dynamical systems with one input and one output. Such
A.N. Tynda
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Cytoskeleton, EarlyView.ABSTRACT Actin filaments exhibit isoform and species‐specific mechanical properties that are commonly quantified via their persistence length, yet the reliability of such measurements depends not only on the analysis method but also on dataset characteristics.
Peter Nietmann +3 more
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Ultrafast Transitions in X‐Ray Irradiated Solids
Contributions to Plasma Physics, EarlyView.ABSTRACT In this review, we present current developments on modeling ultrafast transitions in solids triggered by intense, atto‐ to femtosecond pulses from X‐ray free electron lasers. This specific irradiation regime requires dedicated simulation tools based on theoretical and computational methods, involving the elements of classical and quantum ...
Sebastião Antunes +3 more
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