Results 141 to 150 of about 162,101 (311)
Machine Learning Applied to High Entropy Alloys under Irradiation
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour +8 more
wiley +1 more source
Si Inhibited Osteoclastogenesis: The Role of Fe and the Fenton Reaction
Silicate (Si) inhibition of osteoclastogenesis, is mediated by Fe. Si chemical interactions with Fe inhibit the Fenton reaction and intercellular ROS availability. This reduction in ROS availability inhibits osteoclastogenesis. The addition of Fe, in Si‐inhibited osteoclast cultures, restores the Fenton reaction, and osteoclastogenesis.
Yutong Li +7 more
wiley +1 more source
Study of longitudinal vibrations of stab knife refiners [PDF]
The subject of research is the longitudinal vibrations of stab knife refiners. A model of the fibrous layer between the rotor and stator is developed. It is shown that it is advisable to use the Maxwell-Thomson model for liquid friction of the rotor and ...
Vikharev, S. N., Zasypkina, S. A.
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Toward Energy Justice Principles for Sustainable Lithium‐Ion Battery Technologies
Prefeasibility life cycle assessment is used to evaluate the environmental, social, and supply chain impacts of lithium‐ion battery technologies, and the concept of distributional energy justice is discussed. By comparing chemistries and use cases, it reveals inequities in material sourcing and technology access.
Isabella D. R. Stephens +4 more
wiley +1 more source
In the process of producing ferroalloys, a large amount of secondary raw materials is formed, including slag, aspiration dusts and sludge. The recycling of secondary raw materials can create resources and bring environmental and economic benefits.
Yerlan Zhumagaliyev +9 more
doaj +1 more source
Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales
A multitask deep learning framework evaluates manganese, chromium, and cobalt concentrations in European soils, achieving an average R2 of 0.75. From 2009 to 2015, soil concentrations increase significantly. Source analysis identifies anthropogenic manganese and geological chromium and cobalt origins.
Tao Hu +6 more
wiley +1 more source
Development of methods for preparing fly ash for separation by activation [PDF]
Purpose. Isolation of the aluminosilicate fraction from fly ash, study of physical and mechanical properties of binders obtained from TPP wastes. Methods.
Netyaga, O.B. +8 more
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Bioelectrochemical treatment of oil sands process‐affected water: A comparative study
Comparative Efficiency of microbial fuel cell, microbial electrolysis cell, and microbial electrosynthesis cell systems for oil sands process‐affected water treatment. Abstract In this study, removal of dissolved organic carbon and naphthenic acids (NAs) from oil sands process‐affected water (OSPW) was evaluated in flow‐through microbial fuel cell (MFC)
Louis‐B. Jugnia +4 more
wiley +1 more source
ABSTRACT The steel industry is among one of the largest CO2 emitters in the world. To meet climate targets, replacing fossil‐based carbon with renewable biocarbon in metallurgical processes, particularly in blast furnaces (BFs) and electric arc furnaces (EAFs), has emerged as a viable short‐ to mid‐term solution.
Yu‐Chiao Lu +4 more
wiley +1 more source
The strategic use of patents and its implications for enterprise and competition policies [PDF]
This report was commissioned as a study into the strategic use of patents. In the course of its case investigations and legislative reviews the European Commission became aware of changes in the use of intellectual property, in particular the use of ...
Hall, Bronwyn +4 more
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