Award Data

This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

This project will develop a data driven prognostic fault tolerant smart weapon system concept for the Airborne Laser. A real-time prognostic health management (PHM) system will be developed to track the likelihood of future system or subsystem failures and initiate or indicate appropriate actions to maintain or optimize system performance. A library of predictive algorithms will be employed to tak ...

This project will develop a data driven prognostic fault tolerant smart weapon system concept for the Airborne Laser. A real-time prognostic health management (PHM) system will be developed to track the likelihood of future system or subsystem failures and initiate or indicate appropriate actions to maintain or optimize system performance. A library of predictive algorithms will be employed to tak ...

The overall objective of this project is to develop an automatic adaptive testing system that rapidly identifies specific cognitive deficits to aid in medical and operational decision making. This system will greatly increase the usability of test systems developed under Army sponsorship during the last 20 years, resulting in a product with broad application in both military and civilian environm ...

This STTR provides the Navy with a unique opportunity to fundamentally change the way ship design and analysis is accomplished by defining in Phase I the tools and computational infrastructure required to integrate selected individual specialty design and analysis tools into an overall Naval Engineering Analysis Tool (NEAT). NEAT, when mature has the potential to significantly reduce the design a ...

DESCRIPTION (provided by applicant): The aim is to develop a high resolution, high contrast detector for digital x-ray imaging systems. The target detector would have a Detective Quantum Efficiency much greater than 80%, a limiting resolution of at least 10 lp/mm, ultra-low noise, linear response and a dynamic range of more than 14 bits. The proposal is to build such a detector by using CdZnTe ...

DESCRIPTION (provided by applicant): The goal of this Phase I STTR project is to design, synthesize, and test a new class of biochemically activated magnetic resonance imaging (MRI) contrast agents to detect and monitor enzymatic activity in vivo. The proposal responds to the Program Announcement entitled "Systems and methods for small animal imaging". We base this work on the hypothesis that a ...

DESCRIPTION (provided by applicant): Almen Laboratories has developed a sophisticated software system for imaging applications that provides extensive tools to identify objects and image features of interest, analyze the information content and then store, retrieve and compare different objects and images of interest based on this information. This proposal adapts the technology to the problem ...

Bulk fuel desulfurization is required to apply fuel cells to a new class of naval vessels. Altex, a small business entity, and Pennsylvania State University (PSU), a research organization, have teamed up under a Phase I STTR program and have shown the feasibility of the innovative Logistic Fuel Sulfur Removal (LFSR) system. The LFSR removes the fuel sulfur from Navy fuels without detrimental impac ...