Results 201 to 210 of about 4,739,268 (353)
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Physical model test on the effect of geosynthetic reinforcement on embankment constructed with modified lateritic soil under wetting-vibration. [PDF]
Han X, Gong J, He H, Yang G.
europepmc +1 more source
研究速報 : EMPIRICAL RELATIONS AMONG AVERAGE MAXIMUM GROUND ACCELERATION, EARTHQUAKE MAGNITUDE AND EPICENTRAL DISTANCE [PDF]
恒雄 片山, 照幸 上島
openalex
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
Heart rate and activity patterns of chinook salmon (Oncorhynchus tshawytscha) under steady and unsteady flow conditions. [PDF]
Agbeti WEK +3 more
europepmc +1 more source
The effect of S.A.Q. exercises on developing acceleration, maximum speed, and improving performance in junior 60m sprinters [PDF]
Husam Abdulkadhim Raheema Al-Kaabawi
openalex +1 more source
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann +4 more
wiley +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

