You are here
Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
-
Back Channel for LVC Training
SBC: TOYON RESEARCH CORPORATION Topic: N20AT024To support Navy Live, Virtual, and Constructive (LVC) training for surface fleets during periods of long transit, the Navy would like to consider alternative communication paths that can link shore based trainers and simulation capabilities with trainers and training systems afloat. To support full spectrum training during the training events, there is a desire to selectively turn off communicatio ...
STTR Phase I 2020 Department of DefenseNavy -
Reduction of Predictable Spurs in the ADC outputs using AI
SBC: VIRTUAL EM INC. Topic: N20AT025An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.
STTR Phase I 2020 Department of DefenseNavy -
Hexahedral Dominant Auto-Mesh Generator
SBC: HYPERCOMP INC Topic: N20AT004The objective of our proposed STTR phase-I work is to transition the latest advancements within the academic community to the design of a robust, user-friendly, and application-oriented tool for automatic hex-dominant meshing. Our software will fully couple CAD models to the discretized domain required by finite element software in structural analysis and other simulation and modeling applications ...
STTR Phase I 2020 Department of DefenseNavy -
Hexahedral Dominant Auto-Mesh Generator
SBC: M4 ENGINEERING, INC. Topic: N20AT004Advances in both software and computer hardware have made the finite element method the preeminent choice for analyzing highly complex systems that are of great value to the Department of Defense. The US Defense industry, however, continues to spend enormous time and resources in mesh generation, a key step in finite element analysis, despite progress that has been made in automated mesh gener ...
STTR Phase I 2020 Department of DefenseNavy -
Analysis and Modeling of Erosion in Gas-Turbine Grade Ceramic Matrix Composites (CMCs)
SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC Topic: N19BT033A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent lack of toughness under erosion and post erosion. Our team will develop and demonstrate a physics-based model for erosion/post erosion of CMC’s at room and elevated temperatures (RT/ET). The ICME (Integrated Computational Material Engineering) Physics based Multi Sc ...
STTR Phase I 2020 Department of DefenseNavy -
Conjugate heat transfer for LES of gas turbine engines
SBC: CASCADE TECHNOLOGIES INC Topic: N19BT027Current 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 -
Data Science Techniques for Various Mission Planning Processes and Performance Validation
SBC: Perceptronics Solutions, Inc. Topic: N19BT029Mission 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 -
Optimized Higher Power Microwave Sources
SBC: EPIRUS, INC Topic: N19AT001Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...
STTR Phase I 2019 Department of DefenseNavy -
Quantum Cascade Laser Array with Integral Wavelength Beam Combining
SBC: MIRIOS, INC. Topic: N19AT005Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 µm) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.
STTR Phase I 2019 Department of DefenseNavy -
Comprehensive Surf Zone Modeling Tool
SBC: Arete Associates Topic: N19AT010Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...
STTR Phase I 2019 Department of DefenseNavy