14 research outputs found
Ruthenium oxide-carbon-based nanofiller-reinforced conducting polymer nanocomposites and their supercapacitor applications.
Get PDFIn this review article, we have presented for the first time the new applications of supercapacitor technologies and working principles of the family of RuO2-carbon-based nanofiller-reinforced conducting polymer nanocomposites. Our review focuses on pseudocapacitors and symmetric and asymmetric supercapacitors. Over the last years, the supercapacitors as a new technology in energy storage systems have attracted more and more attention. They have some unique characteristics such as fast charge/discharge capability, high energy and power densities, and long stability. However, the need for economic, compatible, and easy synthesis materials for supercapacitors have led to the development of RuO2-carbon-based nanofiller-reinforced conducting polymer nanocomposites with RuO2. Therefore, the aim of this manuscript was to review RuO2-carbon-based nanofiller-reinforced conducting polymer nanocomposites with RuO2 over the last 17 years
Surgical treatment for accidentally discovered pseudoaneurysm of the mitral-aortic intervalvular fibrosa with bicuspid aortic valve, ascending aortic aneurysm, and myocardial ischemia: a case report
No full textElevated E/E' Predicts Cardiovascular Events in Hemodialysis Patients with Preserved Systolic Function
No full textApplication of response surface methodology for parametric evaluation of air dense medium fluidized bed separator used for coal cleaning
No full textNovel N-(2-((4-vinylbenzyl)thio)ethyl)Acetamide Functionalized Magnetite Nanoparticle: Synthesis and Test Selective Silver(I) Removal Study
No full text
Synthesis, silver (I) extraction and silver (I) binding studies of novel N1,N3-bis(2-(benzylthio)ethyl)propanediamide derivatives
No full textEffect of soluble fiber on the physicochemical properties of cactus pear (Opuntia ficus indica) encapsulated using spray drying
No full textNonlinear Shape-Manifold Learning Approach: Concepts, Tools and Applications
No full textInternational audienceIn this paper, we present the concept of a “shape manifold” designed for reduced order representation of complex “shapes” encountered in mechanical problems, such as design optimization, springback or image correlation. The overall idea is to define the shape space within which evolves the boundary of the structure. The reduced representation is obtained by means of determining the intrinsic dimensionality of the problem, independently of the original design parameters, and by approximating a hyper surface, i.e. a shape manifold, connecting all admissible shapes represented using level set functions. Also, an optimal parameterization may be obtained for arbitrary shapes, where the parameters have to be defined a posteriori. We also developed the predictor-corrector optimization manifold walking algorithms in a reduced shape space that guarantee the admissibility of the solution with no additional constraints. We illustrate the approach on three diverse examples drawn from the field of computational and applied mechanics
