Results 121 to 130 of about 611,232 (343)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
Abundance of Cereal Aphids (Homoptera: Aphididae) and Their Predators in Spring Wheat-Alfalfa Intercrops Under Different Crop Management Intensities [PDF]
Natural infestations of cereal aphids and abundance of their predators were compared from 1990 through 1993 among plots of intercropped spring wheat and alfalfa grown under high, intermediate, or low crop management intensity (CMI).
Evenson, Paul D +2 more
core +2 more sources
World Phosphorus Use Efficiency in Cereal Crops
Agronomy Journa l • Volume 109, I s sue 4 • 2017 Phosphorus is the second most limiting nutrient in crop production aft er N. Batjes (1997) estimated that P defi ciencies can be found in nearly 67% of world land designated for crop production. Hinsinger (
J. Dhillon +4 more
semanticscholar +1 more source
Biomarkers of cereal food intake
Cereal foods are major contributors to the daily energy, protein, and dietary fiber intake all over the world. The role of cereals in human health is dependent on whether they are consumed as refined or whole grain and on cereal species.
R. Landberg +8 more
semanticscholar +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Plant growth and phenolic compounds in the rhizosphere soil of wild oat (Avena fatua L.)
The objectives of this study were to determine the pattern of dry matter (DM) accumulation and the evolution of phenolic compounds in the rhizosphere soil from tillering to the ripe seed stages of wild oat (Avena fatua L.), a widespread annual grassy ...
Anna eIannucci +3 more
doaj +1 more source
Maintenance breeding of conservation cereal varieties [PDF]
The experiments shows that within the heritage material, varieties are identified with unique quality traits, including taste, colour and backing quality, which are not found in high yielding modern varieties available for organic farming.
Borgen, Anders +2 more
core
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
wiley +1 more source
Microstructural evolution and hardness optimization along the cross‐section of friction stir welded AA6061/AlSi10MgMn joints, for electric vehicle battery housings, were investigated. Postweld aging between 170°C and 220°C enhances hardness uniformity within the nugget zone.
Emanuele Ghio, Emanuela Cerri
wiley +1 more source

