Chaotic behavior of ion exchange phenomena in polymer gel electrolytes through irradiated polymeric membrane

Abstract

A desktop experiment has been done to show the nonlinearity in the I-V characteristics of an ion conducting electrochemical micro-system. Its chaotic dynamics is being reported for the first time which has been captured by an electronic circuit. Polyvinylidene fluoride-cohexafluoropropene (PVdF-HFP) gel electrolyte comprising of a combination of plasticizers (ethylene carbonate and propylene carbonate) and salts have been prepared to study the exchange of ions through porous poly ethylene terephthalate (PET) membranes. The nonlinearity of this system is due to the ion exchange of the polymer gel electrolytes (PGEs) through a porous membrane. The different regimes of spiking and non-spiking chaotic motions are being presented. The possible applications are highlighted.

Chaotic Phenomena of Gold Grade Series and Identification of Mineral Intensity

“…Therefore, investigation in the ore-forming process with solid phase and the effect of dynamics has great significance. Chaos theory is an important branch of nonlinear analysis, and is widely applied in the last few decades in a variety of systems, e.g., mechanical, chemical, physical, as well as in social sciences [8][9][10][11]. In particular, chaotic techniques, developed to extract qualitative and quantitative information from time series, have been applied recently to the study of a large variety of irregular, erratic signals and by now have demonstrated to be very useful to reveal deep dynamical features [12].…”

Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

“…Therefore, investigation in the oreforming process with solid phase and the effect of dynamics has great significance. Chaos theory is an important branch of nonlinear analysis, and is widely applied in the last few decades in a variety of systems, e.g., mechanical, chemical, physical, as well as in social sciences [7][8][9][10]. In particular, chaotic techniques, developed to extract qualitative and quantitative information from time series, have been applied recently to the study of a large variety of irregular, erratic signals and by now have demonstrated to can be very useful to reveal deep dynamical features [11].…”