Results 111 to 120 of about 2,019,128 (293)
Elinvar Materials: Recent Progress and Challenges
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
Sensitivity of Bayesian Networks to Noise in Their Parameters
There is a widely spread belief in the Bayesian network (BN) community that the overall accuracy of results of BN inference is not too sensitive to the precision of their parameters.
Agnieszka Onisko, Marek J. Druzdzel
doaj +1 more source
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti +11 more
wiley +1 more source
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
Noise-Induced Enhancement of Parameter Setting
NOISE-INDUCED ENHANCEMENT OF PARAMETER SETTING William J. Turkel University of British Columbia and MIT In this squib I consider the role of input in the convergence of a simple parameter-setting algorithm, the Triggering Learning Algorithm (TLA) of Gibson and Wexler (1994).
openaire +2 more sources
Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie +4 more
wiley +1 more source
HEMT Noise Modeling for D Band Low Noise Amplifier Design
An improved EEHEMT nonlinear model with noise model has been developed in this paper. Empirical formulas of bias dependent noise model parameters are given.
Ao Zhang, Jianjun Gao
doaj +1 more source
Nanoindentation Criteria for Combinatorial Thin Film Libraries
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley +1 more source
Excessive pressure drop within the internal flow channel of the water hydraulic throttle valve will generate severe noise. In order to reduce the noise of the throttle valve, in this paper, the model of the throttle valve was established, and the flow ...
Huawei Wang +6 more
doaj +1 more source

