Results 131 to 140 of about 16,394 (216)

Lagrangian large eddy simulations via physics-informed machine learning. [PDF]

Proc Natl Acad Sci U S A, 2023
Tian Y, Woodward M, Stepanov M, Fryer C, Hyett C, Livescu D, Chertkov M.   +6 more
europepmc   +1 more source

Microplastics and nanoplastics in water: Improving removal in wastewater treatment plants with alternative coagulants

The Canadian Journal of Chemical Engineering, EarlyView.
The contaminant removal performance of a conventional coagulant, alum, and alternative coagulants, aluminium chlorohydrate (ACH) and ACH + pDADMC, are compared in challenging wastewater treatment conditions (pH >7.8). The interactions of each coagulant with a negatively charged surface are depicted based on quartz crystal microbalance with dissipation ...
Sinan Abi Farraj, Mathieu Lapointe, Rafael S. Kurusu, Nathalie Tufenkji   +3 more
wiley   +1 more source

Development of a Meshless Kernel-Based Scheme for Particle-Field Brownian Dynamics Simulations. [PDF]

J Phys Chem B
Sgouros AP, Theodorou DN.
europepmc   +1 more source

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

The 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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI. [PDF]

Magn Reson Med
Villacorta-Aylagas P, Castillo-Passi CA, Kierulf RA, Menchón-Lara RM, Rodríguez-Galván JR, Sierra-Pallares JB, Irarrazaval P, Alberola-López C.   +7 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Footwork recognition and trajectory tracking of football goalie using Multi-Sensor technology. [PDF]

BMC Sports Sci Med Rehabil
Ye G, Liang L.
europepmc   +1 more source

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Combining Fast Exploration with Accurate Reweighting in the OPES-eABF Hybrid Sampling Method. [PDF]

J Chem Theory Comput
Hulm A, Schiller RP, Ochsenfeld C.
europepmc   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian 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