Microcracking in the metal matrix coupled with failure of the reinforcing SiC particulates both independently dispersed and in clusters dominated the fracture sequence at the microscopic level.
These segments are integrated into an input matrix coupled with a response matrix through a time varying equation of motion of the system.
In this work we presented a set of simulated results of a novel small animal optical imaging module based on a fibers optics matrix, coupled with a position sensitive detector, devoted to acquire bioluminescence and Cerenkov images.
Enormous strength increase of the composite can be attributed to a homogeneous distribution of Ni-GNFs in the Ti matrix coupled with the formation of special interface (Ti/Ti2Ni/nano-TiCX/Ni-GNFs).
The enormous strength increase in these composites can be attributed to a homogeneous distribution of nanotubes in the nickel matrix coupled with the formation of well-bonded, high strength, contaminant-free nanotube/nickel interfaces, as revealed by high-resolution transmission electron microscopy.
Release of water in the matrix coupled with volatilization of volatile organic compounds due to thermal treatment may have resulted in the formation of these pores.
Through a procedure introduced by Deift and Zhou in the case of long time limits, factorization of the jump matrix coupled with contour deformations allows the localization of the contour, the simplification of the jump matrix and the rigorous asymptotic reduction to a solvable RHP.
Upon charging (Li desertion) in the same cycle, the polysulfides shrink back to their original state; the linear binders, however, cannot fully follow the shrinkage of polysulfides, thus leading to an inevitably contact loss of electroactive materials from the carbon matrix, coupled with polysulfides dissolution, result in inferior performance of most sulfur-carbon composites.
The discriminatory capability of each matrix coupled with each Markov order was assessed by comparison of the empirical and theoretical score distributions.
As one of currently major cellular biosensor technologies, the bioelectric recognition assay (BERA) utilizes live, functional cells in a gel matrix coupled with a sensor system able to measure changes in the cellular electric properties.
