Numerical modeling of active plasmonic nanoparticles

Enhanced scattering and light localization beyond the diffraction limit due to plasmon resonance in metallic nanoparticles is a well known phenomena and has been applied for a wide range of useful applications including nanoparticle waveguides, bio-sensors and several others. Based on the classical Mie theory it can be shown that by enclosing an active media in a nanoparticle, metallic losses can be overcome and a nanoparticle can be made to radiate by itself. This result can extend the use of plasmonic nanoparticles far beyond the current limitations and pave the way for lossless plasmonic waveguides, energy storage devices and nanolasers. This research aims to investigate, in theory and using numerical techniques, how these applications can be realized.

NEW SENSOR TECHNOLOGY

Scientists have developed and demonstrated a fluorescence-based chemical sensor that is more compacting, versatile and less expensive than existing technology of its kind. The new sensor holds promise for myriad potential applications, such as monitoring oxygen, inorganic gases, volatile organic compounds, biochemical compounds. Selecting the right sensors is critical to implementing any military control-based subsystem in which the key factors are accuracy, precision, the ability to meet the environmental range of the intended application and cost.Mainly used two techniques are sensor web and video sensor technology. The Sensor Web is a type of sensor network or geographic information system (GIS) that is especially well suited for environmental monitoring and control.An amorphous network of spatially distributed sensor platforms (pods) that wirelessly communicate with each other. This amorphous architecture is unique since it is both synchronous and router-free, making it distinct from the more typical TCP/IP-like network schemes. The architecture allows every pod to know what is going on with every other pod throughout the Sensor Web at each measurement cycle. The word video sensor (also video-sensor or videosensors) describes a technique of digital image analysis. A video sensor is an application software, which supports the interpretation of digital images and frame rates. Video sensors emerge by programming digital algorithms. The carrier platform of a video sensor is a computer, which in turn is usually equipped with a Linux or Microsoft operating system. Video sensors are being installed on top of one of the mentioned operating systems. And in combination with the carrier platform, it represents a video sensor system. Video sensors are being used to evaluate scenes und sequences within an image section of a (CCD)camera.