Results 111 to 120 of about 16,931 (262)
A New Extended Pareto Distribution: Statistical Properties, Estimation, and Applications
The Pareto distribution is a fundamental model for heavy-tailed data, but its rigid structure often fails to capture the diverse tail behaviors and hazard rate patterns observed in real-world applications.
Merga Abdissa Aga
doaj +1 more source
Shared differential metabolites identified across the three sample groups. (A) Venn diagram of differential metabolites between the two comparison groups; Based on the detected levels of these overlapping differential metabolites, (B) d‐Arabitol, (C) Triclosan, (D) Iloprost, (E) Tetracosanoic acid, and (F) Omeprazole sulfone. Box plots were constructed
Mengtao Qian +4 more
wiley +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 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
Alpha-Power Pareto distribution: Its properties and applications. [PDF]
Ihtisham S +5 more
europepmc +1 more source
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
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
Lithium carbonate (Li2CO3) obtained from the black mass of recycled lithium batteries is dissolved in water under controlled conditions to remove lithium fluoride (LiF), which is present at a concentration of 3.08 % by weight. The dissolution is carried out at temperatures below 10 °C, and it has been demonstrated that lower temperatures result in ...
Laura Rosso +3 more
wiley +1 more source
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan +3 more
wiley +1 more source
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang +5 more
wiley +1 more source

