Results 51 to 60 of about 254,067 (266)
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 PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
The temperature dependence of fatigue behavior in nickel‐based superalloys is investigated through high‐resolution measurements of plastic localization. While increasing temperature reduces localization and enhances fatigue performance in René 88DT, Inconel 718 exhibits a sharp degradation at intermediate temperature due to intensified slip ...
M. Calvat +5 more
wiley +1 more source
Brucellosis, a significant zoonotic infectious disease caused by Brucella spp., necessitates the development of efficient, rapid, accurate, and cost-effective diagnostic methods.
Lei Wang +6 more
doaj +1 more source
EHAFF-NET: Enhanced Hybrid Attention and Feature Fusion for Pedestrian ReID
This study addresses the cross-scenario challenges in pedestrian re-identification for public safety, including perspective differences, lighting variations, occlusions, and vague feature expressions.
Jun Yang +5 more
doaj +1 more source
The Data Problem in Data Mining
Computer science is essentially an applied or engineering science, creating tools. In Data Mining, those tools are supposed to help humans understand large amounts of data. In this position paper, I argue that for all the progress that has been made in Data Mining, in particular Pattern Mining, we are lacking insight into three key aspects: 1) How ...
openaire +2 more sources
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Detection and tracking of carbon biomes via integrated machine learning [PDF]
In the framework of a changing climate, it is useful to devise methods capable of effectively assessing and monitoring the changing landscape of air–sea CO2 fluxes.
S. Mohanty +4 more
doaj +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Nicolas Bissantz, Jürgen Hagedorn
openaire +2 more sources

