Award Data

Functional metabolic imaging of plant and microbial systems requires a sensitive, high spatial resolution microscopy method that can image metabolically important compounds in situ. This will require new chemically sensitive imaging methods to be developed. In this SBIR/STTR, we will develop a new coherent Raman-based microscopy technique that will improve ensitivity over existing stimulated Raman ...

Detailed accurate data on temperature variations and water vapor concentration distributions are needed for weather and climate forecasting. Water vapor is particularly important for predicting precipitation amounts from storms. Measurements are needed from the ground to the top of the troposphere at about 10 km altitude. Existing ground-based instruments often have measurement uncertainties due t ...

The Exascale Computing Project is tasked to develop the next generation of high performance computing systems capable of computing at 50 to 100 times faster than current HPC systems. Computing at this extreme-scale will significantly enhance the value of materials modeling and simulation to basic materials research and engineering In particular, computing at the extreme scale will enable a higher ...

Computer-aided Engineering software that apply the Finite Element Method to perform a multi-physics analysis have received widespread acceptance for traditional macro-scale material systems. Challenges persist in the modeling of complex coupled processes in environmental/thermal barrier coatings (E/TBCs) used to protect substrate material against the corrosive environment in the hot section parts ...

Traumatic injuries account for 30% of all life years lost in the US and is the leading cause of death for people under 46 years of age. Uncontrolled bleeding or hemorrhage constitute 30-40% of trauma related deaths and are considered to be a major cause o

The objective of this proposal is to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction ...

Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

Uncertainty Reduction in High Speed Flight Vehicle Modeling | Approved for Public Release 18-MDA-9707 (3 Jul 18)

To realize the full potential of autonomous systems, it is imperative that they behave safely, correctly, ethically, and legally. Providing these assurances through offline verification alone is insufficient, due to the complex and changing nature of autonomous systems. Online monitoring and corrective actions are necessary to account for uncertainties, and to increase trust between a human superv ...

Verus Research and the University of New Mexico (UNM) are pleased to respond to the Navy Phase I STTR solicitation N19A-T001 titled “Optimized Higher Power Microwave Sources.” Verus Research, in collaboration with UNM, propose to develop a GW-class, S-band, high power microwave (HPM) source to integrate in vehicle and vessel stopping systems. Our integrated approach ensures the objectives for ...