On Emulation of Flueric Devices in Excitable Chemical Medium

Abstract

Flueric devices are fluidic devices without moving parts. Fluidic devices use fluid as a medium for information transfer and computation. A Belousov-Zhabotinsky (BZ) medium is a thin-layer spatially extended excitable chemical medium which exhibits travelling excitation wave-fronts. The excitation wave-fronts transfer information. Flueric devices compute via jets interaction. BZ devices compute via excitation wave-fronts interaction. In numerical model of BZ medium we show that functions of key flueric devices are implemented in the excitable chemical system: signal generator, and, xor, not and nor Boolean gates, delay elements, diodes and sensors. Flueric devices have been widely used in industry since late 1960s and are still employed in automotive and aircraft technologies. Implementation of analog of the flueric devices in the excitable chemical systems opens doors to further applications of excitation wave-based unconventional computing in soft robotics, embedded organic electronics and living technologies.

System identification of propagating wave segments in excitable media and its application to advanced control

“…Excitable media have received considerable attention due to their wide range of applications. For example, cardiac arrhythmias can be modeled as spirals and turbulence occurring in excitable media [1,2], and the propagating waves in excitable media have the potential to be used for the realization of chemical information processing [3][4][5] and for finding optimal paths [6].…”

Proportional-integral control of propagating wave segments in excitable media

“…Spirals, turbulence, and propagation waves in excitable media have attracted growing interest in the field of nonlinear science. Spirals and turbulence have been investigated as a cause of cardiac arrhythmias [1,2], and propagating waves are expected to be useful in engineering applications such as finding optimal paths [3], chemical logic gates [4][5][6][7][8], chemical memories [9,10], or information-processing devices [11][12][13]. As such, the control of these nonlinear phenomena has attracted considerable attention.…”