Award Data

Recent advances in gas chromatographic and mass spectrometric techniques for atmospheric measurements have led to highly complex data sets that have overwhelmed the capabilities of current data analysis software. We propose a new method for the automated reduction of chromatographic data using peak-fitting algorithms. By relying upon constrained peak-fit parameterization, accuracy of peak identifi ...

We propose to develop and deliver a generalized 3DVAR data assimilation module, in an opensource and non-proprietary programming language, which is compatible with both ROMS and FVCOM and easily incorporated into the existing NOAA operational forecast system (OFS). Our innovation is to develop a data assimilation roadmap contrasting 3DVAR with other advanced techniques such as multi-scale 3DVAR, 4 ...

Tropospheric oxidation capacity is dominated by HOx photochemistry, however halogen atoms and oxides significantly affect these chemical cycles. A sensitive and robust measurement of gaseous HCl is critically important to improve our understanding of halogen chemistry and its impacts on the spatial and temporal oxidation capacity of the atmosphere. This is vital to evaluating the life time of shor ...

The DSOM system realized in a Phase II effort will provide a modular, compact and reconfigurable system with the ability to provide unique and new information about the scene of interest (e.g. temporal and height information) when compared with traditional SAR sensors. When compared with other imaging technologies, DSOM has the important advantages of being operable through cloud cover and at nigh ...

This project continues our development of innovative systems for farming macroalgae on the high seas. We will identify suitable sites in Nantucket Sound to demonstrate our system and determine the associated environmental parameters including depths, currents, and waves. By combining that information with load and acceleration data from our Phase I wave-basin tests, we will refine the structural d ...

This program is aimed at the development of a deployable sensor for direct measurement of carbonate ions in saline waters with a sensitivity of 5 μM. The sensor combines the selectivity of carbonate ionophore with the unique structure of a carbon nanotube array to achieve a large dynamic range, high specificity and sensitivity. Phase I was focused on demonstrating the proof-of-principle concept f ...

Physical Sciences Inc. (PSI) proposes to develop an Advanced Learning-Enabled Threat Search (ALERTS) software to significantly enhance detection range and source classification accuracy during search for Special Nuclear Materials and other radioactive threats. The software will implement Machine Learning algorithms for automated extraction of spectral and temporal features by training on sets of g ...

"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 the s ...

We propose to develop Prediction of Emergent SCIENce & Technology (PRESCIENT), a system that mines a text corpus of scientific patents and publications to discovers emerging technologies that may impact WMD or CWMD. PRESCIENT will take as input a diverse corpus of patents and publications, including metadata about contributing authors and organizations, and will produce as output alerts with timel ...

Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials (SNM) based on analysis of the time correlated neutron multiplicity distribution. RMD is developing a composite detector, consisting of Cs2LiYCl6:Ce (CLYC) scintillator incorporated into dual-mode plastics, which provides an ideal solution for this task. CLYC offers (1) efficient thermal ...