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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
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SBC: Arete Associates Topic: N19AT017
The US Navy’s mission to maintain, train and equip combat-ready Naval forces requires that decision makers have situational awareness of the capabilities, limitations, vulnerabilities/opportunities for adversarial and allied forces. An incomplete or inaccurate understanding of the current landscape and associated trends could lead to suboptimal mission readiness and outcomes. Analysts need tools ...STTR Phase I 2019 Department of DefenseNavy
Seamless Wireless Charging of Micro and Small Unmanned Aerial System Through Local Power Transmission InfrastructureSBC: EH GROUP INC Topic: N19AT019
Wireless charging of unmanned aerial system (UAS) platforms from the environment has the potential to greatly increase flight and mission times. A promising option is to use electromagnetic fields from the power transmission infrastructure as an energy source. EH Group and the University of Alabama propose a design for UAS wireless charging in the near-field environment of the commercial power tra ...STTR Phase I 2019 Department of DefenseNavy
Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing DevelopmentSBC: CFD RESEARCH CORPORATION Topic: N19AT020
Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...STTR Phase I 2019 Department of DefenseNavy
SBC: PARTOW TECHNOLOGIES LLC Topic: N19AT023
A photonic integrated spectrometer based on high-index contrast thin film platform is proposed for Raman signal processing. Raman signal generation on the chip via waveguide collection integrated with a spectrometer is proposed to increase the efficiency and signal to noise ratio and significantly reduce cost and the size of Raman sensor systems. All components of the proposed Raman detection syst ...STTR Phase I 2019 Department of DefenseNavy
SBC: ULTRA-LOW LOSS TECHNOLOGIES LLC Topic: N19AT023
Ultra-Low Loss Technologies (ULL Technologies) is proposing in collaboration with Prof. Arka Majumdar from University of Washington (UW), to develop a compact, low-cost spectrometer module to be used for chemical sensing applications and to be fabricated using the process design kit (PDK) available through AIM Photonics multi-project wafer run (MPW). The team will combine ULL Technologies expertis ...STTR Phase I 2019 Department of DefenseNavy
SBC: BCL Technologies Topic: N19AT024
In this SBIR, BCL proposes developing a Multi-lingual Social-media Crowd Manipulation Detector (MSCMD). The MSCMD will use natural language processing techniques to detect terms that arouse emotion using information out of context to trigger reaction from the audience and move them to act.The MSCMD will operate in Asian languages using a Natural Language Processor for each language. The MSCMD will ...STTR Phase I 2019 Department of DefenseNavy
A Hierarchical and Extendable, Component-Based Simulation Tool for Aircraft Thermal Management SystemsSBC: CFD RESEARCH CORPORATION Topic: N19BT025
The requirements for thermal management on tactical aircraft systems have reached a level at which integrated system design must be considered early in the aircraft design process. An integrated propulsion, power and thermal modeling and simulation design approach is necessary for reduced size, weight and power requirements. At the same time, there is an urgent need for capabilities that enable an ...STTR Phase I 2019 Department of DefenseNavy
SBC: CASCADE TECHNOLOGIES INC Topic: N19BT027
Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...STTR Phase I 2019 Department of DefenseNavy
SBC: Kord Technologies, Inc. Topic: N19BT027
Accurate prediction heat transfer in gas turbine components subject to cooling requires high fidelity modeling of heat transfer in the presence of high Reynolds number turbulent flow. The cooling internal to the blades results in sustained temperature gradients within the structural parts, from low temperature in the interior of the structure to increasingly higher temperature closer to the surfac ...STTR Phase I 2019 Department of DefenseNavy
SBC: Perceptronics Solutions, Inc. Topic: N19BT029
Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...STTR Phase I 2019 Department of DefenseNavy