Results 131 to 140 of about 14,407 (260)
Computational and Machine‐Learning Studies of Ethylene Oligomerization
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin +3 more
wiley +1 more source
Geostatistical Analysis of Seabed Sediment Type: A Compositional Approach with Non-Euclidean Distance Metrics. [PDF]
Goovaerts P.
europepmc +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Reduction of the space dimension of parameters characterizing geomagnetic storms during the Solar Cycle 24. [PDF]
Siluszyk A +5 more
europepmc +1 more source
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim +5 more
wiley +1 more source
The initial cycling of [5,15‐bis(ethynyl)‐10,20‐diphenylporphinato]copper(II) electrodes in rechargeable Mg‐ion batteries is studied using electrochemical, spectroscopic, microscopic, and spectrometric methods such as total reflection X‐ray fluorescence spectrometry and time‐of‐flight secondary ion mass spectrometry .
Tom Philipp +13 more
wiley +1 more source
ICP-MS based seasonal and spatiotemporal evaluation of potentially toxic and major elements in surface waters of Akdağ National Park, Türkiye. [PDF]
Karakuş Z +5 more
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Influence of COVID-19 on postoperative prognosis and pain management. [PDF]
Hu YZ, Qin ZL, Tang W, Hu ZL, Luo RY.
europepmc +1 more source
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source

