Award Data

The exploration and production of oil and natural gas is one of the most computationally demanding endeavors, generating terabytes of data. To optimize the management of a producing oil field or to find new reserves, the E and P data must be readily available to a multidisciplinary asset management team. The data must be easy to access, and it must be effectively managed by a team of geologists, ...

Nickel super alloys, such as Inconel®, are leading candidates for fossil energy-based power production components due to their resilience in extreme environments. A significant technical roadblock to the implementation of nickel-based power plant systems is the inability to produce large-scale components in a cost competitive manner. We will address the problem of manufacturing large, low-cost su ...

Next generation reactor R&D aims to produce safer, longer lasting and economically viable nuclear power plants. New designs rely on novel materials that are resistant to both corrosive environments and radiation damage. Testing these novel materials requires an intense fast neutron environment, commonly created with a nuclear reactor or a national laboratory scale accelerator such as the proposed ...

Intense short pulse lasers are playing increasingly important role in high-energy physics research. Laser based electron accelerators are innovative tools to obtain GeV to TeV electron energies for high-energy particle physics experiments. The development of such lasers puts stringent challenges on the very limits of the laser materials themselves. The goal of this project is to develop Ho:sesquio ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

Neutron-sensitive microchannel Plates (MCPs) are now providing state-of-the-art user-based, high spatial resolution neutron imaging systems at several US government neutron research facilities as well as university research reactors. Using enriched 10B, thermalized neutron detection efficiencies exceeding 50% have been demonstrated, and cold neutron detection efficiencies of up to 70% have been do ...

At 10.8% Compound annual growth rate(CAGR), Fire Protection Systems Market Size is expected to reach 9.34 Bn USD by 2025. This however reflects only the systems but does not include the services, consultancy and other operator expenses incurred by the industry sectors impacted. Modeling and implementing fire safety for nuclear power plants is an expensive and complex activity. It is difficult to c ...

Finding better ways to measure rhizosphere properties has the potential to transform agriculture. Better understanding of the root-microbe-soil interactions that characterize the rhizosphere will help reduce fertilizer, pesticide, and herbicide inputs, improve effective carbon dioxide sequestration, enhance biofuel crop production, and lead to more efficient farms with higher profitability. But th ...

Next generation reactor R&D aims to improve overall safety, efficiency, sustainability, and proliferation resistance for economically viable nuclear energy. New reactor design and fuel development rely on novel materials that are resistant to both radiation damage and corrosive environments. However, American nuclear fuel developers face a serious dilemma: there are no existing domestic fast react ...