Results 201 to 210 of about 1,135,266 (267)
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
The impact of college students' social anxiety on human-machine trust: the mediating role of perceived intelligence and the moderating role of psychological anthropomorphism. [PDF]
Li Z, Cai C, Wu L, Wang X.
europepmc +1 more source
Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao +3 more
wiley +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Overview of Machine-to-Machine and In-Machine Wireless Communications
openaire +1 more source
Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning. [PDF]
Yang J, Wang S, Chen X, Liu L, Li Y.
europepmc +1 more source
Predicting persistent pain after total knee arthroplasty using different machine learning algorithms. [PDF]
Rajamäki A +4 more
europepmc +1 more source
Interpretable Machine Learning for Predicting Metabolic Syndrome-Kidney Stone Disease Comorbidity: The Role of Dietary Micronutrients. [PDF]
Wu G +7 more
europepmc +1 more source

