Results 61 to 70 of about 6,718 (256)
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Assuming that investors can be foreign or local, do high-frequency trading (HFT) or not, and submit orders through a bank-owned or non-bank-owned broker, we associated trades to various investors.
Cumhur Ekinci, Oğuz Ersan
doaj +1 more source
The street vendors' location, the city and the subaltern global fluxes
In Brazil, a new type of commercial building, that stands out by its big dimensions together with its architectural simplicity, called the street vendors'market has systematically been inserted in the urban scenarios. But what is most important about its
Ludmila Brandão
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
THE ROLE OF EXCHANGE TRADING IN ENSURING TRANSPARENCY OF INDUSTRY PRICING MECHANISMS
Background. Commodity exchanges play an important role in the development of the country's economy. They provide an opportunity to determine the market capacity and competition conditions, exchange information and contribute to optimal pricing.
Yu.V. Malakhova +2 more
doaj +1 more source
Mass retirement in the baby-boomer generation has led to the current challenge of renewing mentoring in skilled trades, which have traditionally made it possible to transmit the know-how required in manual expertise.
Sophie Le Bellu
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Mass retirement in the baby-boomer generation has led to the current challenge of renewing mentoring in skilled trades, which have traditionally made it possible to transmit the know-how required in manual expertise.
Sophie Le Bellu
doaj +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source

