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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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.
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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 -
Quantum Emulation Co-processor Circuit Card
SBC: White River Technologies Inc Topic: N20AT016Analog computation has an old history going back to mechanical differential analyzers for solving Ordinary Differential Equations. These equations can be used model Hilbert space that is used in Quantum Computing. It was realized that the computational operation called quantum computing does not need quantum systems by Paul Benioff in 1980; however, the analog approaches to solving Hilbert spa ...
STTR Phase I 2020 Department of DefenseNavy -
Intelligent Additive Manufacturing- Metals
SBC: TRITON SYSTEMS, INC. Topic: N20AT018Although metal AM technologies have continued to progress, there are still many different challenging factors to a build that impact part quality and the amount of time it takes to successfully process a first-run component without defects. Triton Systems proposes to develop a machine learning algorithm that adjusts print parameters during the build in reaction to in-situ sensor data in order to ...
STTR Phase I 2020 Department of DefenseNavy -
Fully Automated Quantum Cascade Laser Design Aided by Machine Learning
SBC: Pendar Technologies, LLC Topic: N20AT003Pendar Technologies proposes to develop a QCL simulation tools that leverage machine learning to dramatically improve the speed of QCL device design. The innovative QCL design suite proposed will benefit from recent advances made by Pendar in bandstructure engineering, laser cavity design and thermal management at the chip and the package level.
STTR Phase I 2020 Department of DefenseNavy -
Interlaminar Reinforcement of Composites via Tailored CNT Nanomorphologies
SBC: METIS DESIGN CORP Topic: N19AT003The Phase I effort of this STTR aimed to reinforce ply-drop laminates. When laminates taper from a thicker to thinner cross section, the termination of plies locally create resin pockets that can reduce the life of a part due to the lower strength of the resin compared to the fibers, local stress concentrations, and the propensity for voids in these resin rich areas. Thus, Metis Design Corporation ...
STTR Phase II 2020 Department of DefenseNavy -
Ambient Quantum Processor compatible with an All-photonic Repeater Architecture
SBC: CATALYTE, LLC Topic: N20AT005The significance of the problem is to deploy combined quantum communication-and-processing near to Navy applications. Our approach, when successful, would enable small, ambient operating QPUs to be connected at a distance by quantum-secure communication. Unlike bulky optical components and in-contrast to cryogenic qubits, our system, using in situ generated photons, offers a practical s ...
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 -
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 -
A Wavelength-Scalable Dual-Stage Photonic Integrated Circuit Spectrometer
SBC: Physical Sciences Inc. Topic: N19AT023In this program, Physical Sciences Inc. (PSI) will team with Professor Ali Adibi’s group at the Georgia Institute of Technology to develop a photonic integrated circuit (PIC) spectrometer that can simultaneously achieve high-resolution over wide-bandwidths using a scalable and foundry-ready approach. While a PIC-based spectrometer is a key component for on-chip Raman, fluorescence, and absorptio ...
STTR Phase II 2020 Department of DefenseNavy -
Cyber Adversary Discovery Engine (CADE)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N19AT021Cyber warfare is a rapidly expanding, critical battlefield for the US Navy. Attacks on infrastructure, ship systems, and sailors themselves can significantly reduce operational readiness and deployment time, and can be very costly. To prepare and successfully defend this rapidly evolving battlefield, defensive cyberspace operations (DCOs) must analyze and forensically investigate attacks, but few ...
STTR Phase II 2020 Department of DefenseNavy