In this paper we present the analogous electrical model for analyzing and determining the precise time dependence of concentrations in general first and zero order chemical reactions. In addition, the applicability of this analogous electrical model for investigating the optical and bio chemical processes is also presented. By constructing the proper analogous electrical circuit experimentally ...

The role of quenched disorder on the magnetic phase transition of ferromagnetic manganites is investigated through the field and pressure dependence of magnetization around TC. Our results demonstrate that moderatesmall chemical disorder promotes second-order behavior. This can be rationalized on the basis of a simple thermodynamic model in which the magnetic order parameter is coupled to the l...

Systems that model chemical networks are often defined through a set of parameters (the reaction rate constants) whose values may be determined with a small margin of error. These parameters will typically also appear in the construction of observers. The idea of robustness of observers with respect to the parameters is discussed. A definition of parameter-robustness is proposed and an explicit...

Under the effects of electric field and chemical reaction, a mathematical model has been developed to study the dispersion of aerosols in a couple stress fluid flowing through a channel which is analytically solved using Taylor disper¬sion model. The solutions for velocity, concentration distribution and dispersion coefficient are numerically computed and the results are represented graphically...

This work compares a few attempts based on Neural and Wavelet networks, for extracting the Jominy hardness pro le of steels directly from the chemical composition. In particular, the paper proposes a multi-networks architecture, where a rst network is used as a parametric modeler of the Jominy pro le itself, while a second one is used as a parameter estimator from the steel chemical composition.

Diuretic activity [ p(1/C)] of benzene sulfonamides was modeled using 13 C NMR chemical shift ( as a molecular descriptor. The regression analyses were carried out using regular as well as Ridge multiple regression analyses. Application of variety of statistics namely ( statistics, Ridge regression and parameter derived there were used for modeling the diuretic activity. Results have shown that...

Background MR Fingerprinting (MRF) [1] offers a novel approach for quantifying extracellular volume (ECV) in a single scan without contrast agent. Whereas conventional parameter mapping assumes chemical exchange occurs much faster than the experiment time scale, usually on the order of T1, MRF measurements are acquired every TR (less than 12ms). This project investigates the feasibility of a ne...

The concept of temperature is critical in describing many physical phenomena, such as the transition from one phase of matter to another. Turn the temperature knob and interesting things can happen. But other knobs might be just as important for some studying some phenomena. One such knob is chemical potential, a thermodynamic parameter first introduced in the nineteenth century scientists for ...

Online estimation of parameters is significant for control and monitoring of many chemical engineering processes. Accurate estimation of process parameters requires measurements, that ensure observability and a good response of parameter estimates. Therefore, it is highly desirable to place the sensors optimally for estimating process parameters. The problem of sensor placement in chemical proc...

Physical systems possess a structure and display dynamics. The article describes how a structure of one class of systems, which are encountered in chemical kinetics, can be revealed. The structure may be represented by a graph that has some similarities with the graph used to display the structure of chemical molecules. The graphs are induced by one-parameter transformation groups in nonlinear ...