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Our biosensor is made of silicon nanowire arrays functionalized with antibodies to measure the concentration of specific proteins. In this grant we will take a sensor that has been demonstrated for use in measuring a set of generic host cell proteins and we will apply the sensor to measure a set of proteins for a specific cell line. In doing so, we will demonstrate the utility of our sensor to be ...

This project will develop a new scientific instrument optimized for the advanced characterization of near-infrared fluorescent nanoparticles that can exist as left- or right-handed structures (enantiomers). Single-walled carbon nanotubes (SWCNTs) are the leading current example of such nanomaterials. Applied NanoFluorescence, LLC (ANF) proposes a novel multi-mode chiroptical spectrometer that can ...

The goal of this project is to design and develop Semantic Analysis Technologies for the Identification of Dual Use Research of Concern (STIR). STIR processes scientific documents using semantic technologies and inference algorithms to identify potential for Dual Use Research of Concern (DURC). The focus is on 15 high consequence pathogens and toxins and 7 experimental categories identified as DUR ...

During the Phase I effort, Proportional Technologies, Inc. developed non-saturating components for a military battlefield dosimeter based on ionization chamber technology. Chambers were thimble-shaped, made out of carbon, and incorporated different materials for the conversion of fast neutrons, thermal neutrons, and gamma radiation. Extensive testing showed that the proposed solution is feasible. ...

A generalized network topology-aware algorithm has been developed that efficiently maps structured and unstructured domains onto available nodes to minimize MPI message passing costs. The methodology utilizes sub-domain inter-dependency information, readily available from standard domain decomposition codes, along with a simulated annealing optimization technique to automatically assign sub-blocks ...

During the Phase I effort, Semandex Networks and its team developed a prototype capability to detect trends in research publications by automatically identifying emerging concepts within the data. The implemented capability provides insights into past and

Increasing the distance for standoff detection of nuclear materials, beyond that capable with direct radiation detection, using “alternative signatures”, such as the concentration of ionization in the surrounding atmosphere, improves the ability to locate, track and monitor this material. Ionizing radiation generates free elections, ions, and exited states in the nearby atmosphere, even when t ...

In Phase II of PLATO, we will develop a prototype plan and goal identification system that employs a rich model of domain actions and events, extracted automatically from a massive amount of real-world domain-relevant information, to model agent-specific action costs and to process sequences of agent actions and events, extracted from text, as an agent plan in progress. The system will be able to ...

Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials based on analysis of the time correlated neutron multiplicity distribution. RMD is developing two key materials for such applications: Cs2LiYCl6:Ce (CLYC) scintillator and dual-mode plastics.  CLYC offers efficient thermal neutron detection and excellent separation between gamma and neutr ...

Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials based on analysis of the time correlated neutron multiplicity distribution. RMD is developing two key materials for such applications: Cs2LiYCl6:Ce (CLYC) scintillator and dual-mode plastics. CLYC offers efficient thermal neutron detection and excellent separation between gamma and neutron ...