Results 131 to 140 of about 12,151,858 (250)
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley +1 more source
Analytic and Algebraic Methods in Physics
Andrii Khrabustovskii, Miloslav Znojil
doaj
Differential algebra and algebraic groups
Differential Algebra & Algebraic Groups.Includes bibliographical references and index.Print version record.Algebraic preliminaries -- Basic notions of differential algebra -- Differential fields -- The basis theorem and some related topics -- Algebraic ...
Kolchin, E R +1 more
core
Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger +7 more
wiley +1 more source
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Numerical Methods of Complex Valued Linear Algebraic System
Shi-Liang Wu +4 more
doaj +1 more source
ABSTRACT Inspired by insights gleaned from biomimicry theory, this paper addresses the persistent lack of theoretically grounded research in sustainable supply chain management (SSCM) and examines how nature‐inspired biomimicry principles could enhance various dimensions of its competitiveness. This study's theoretical contribution lies in its proposal
Susana Garrido +4 more
wiley +1 more source

