Results 231 to 240 of about 55,294 (305)

Unveiling Synergistic CuAuAg Nanoparticles on CuO for High‐Yield CO2 Electroreduction

open access: yesCarbon Energy, EarlyView.
Pulsed laser irradiation in liquid synthesis was employed to fabricate a trimetallic catalyst composed of CuAuAg nanoparticles uniformly decorated on CuO nanosheets (CuAuAg/CuO composite). This catalyst exhibits remarkable electrocatalytic performance for the reduction of CO2 to CO, achieving a high CO yield rate of 5.1 mmol h−1 cm−2 and a Faradaic ...
Chae Eun Park   +5 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

The nucleardatapy toolkit for simple access to experimental nuclear data, astrophysical observations, and theoretical predictions. [PDF]

open access: yesEur Phys J A Hadron Nucl
Margueron J   +12 more
europepmc   +1 more source

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

Application of dynamic modelling and model‐based predictive control to enhance a cooling tower

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Model predictive control (MPC) applied to improve the operation of cooling towers. Abstract Model predictive control (MPC) differs from traditional feedback control by making predictions within a time horizon, providing better control actions for the process.
Douglas de Almeida Giardini   +4 more
wiley   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

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