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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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Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.
SBC: OCEANIT LABORATORIES INC Topic: N16AT008Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.
STTR Phase I 2016 Department of DefenseNavy -
Nanoporous block polymer separators for high performance and safe Li-ion batteries
SBC: ADA TECHNOLOGIES, INC. Topic: N16AT008To meet Navy needs for high performance and safe lithium ion (Li-ion) batteries for naval aircraft, ADA Technologies Inc. (ADA) and its university collaborator propose to develop and optimize tailor designed nanoporous separators derived from functionalized block copolymers (polyolefins) with low cost precursors. The innovative strategy provides a powerful tool to allow exquisite tuning of perform ...
STTR Phase I 2016 Department of DefenseNavy -
Air Cycle Machine Low Friction, Medium Temperature, Foil Bearing Coating
SBC: ACREE TECHNOLOGIES INC Topic: N16AT005The purpose of this project is to demonstrate the feasibility of using an innovative, durable, low friction, and non-toxic solid lubricant coating for foil air bearings for air cycle machines (ACM). Acrees coating provides superior wear characteristics at all temperatures and provides a substantial improvement over polyimide type coatings that are currently used on ACMs. The coating consists of tw ...
STTR Phase I 2016 Department of DefenseNavy -
Durable, Low Friction Coatings For Air Cycle Machine Foil Bearings
SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC. Topic: N16AT005Technology Assessment and Transfer will demonstrate the potential of novel, low friction and low wear coatings that are capable of providing long term durability for air cycle machine foil bearings. A systematic approach with a high probability of success includes the following: unique low friction, wear resistant alloys and lubricating ceramic composites, magnetron sputtering, the ideal method fo ...
STTR Phase I 2016 Department of DefenseNavy -
Pseudospectral Optimal Control for Flight Trajectory Optimization
SBC: STOCHASTECH CORPORATION Topic: N15AT006The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. Often, linearization around a set point is the only practical approach, and many controllers implemented in hardware systems are simple linear feedback mechanisms. From proportional guidance in missiles ...
STTR Phase I 2015 Department of DefenseNavy -
Aircraft Carrier-based Precision Ship-Relative Navigation Guidance for Aircraft Landing under Emissions Control Conditions
SBC: SA PHOTONICS, LLC Topic: N15AT014This proposal describes an all optical fixed wing landing system for a aircraft carrier capable of flying an aircraft all the way to landing in a RF denied environment. The precision, reliability and accuracy of this system will allow control the aircraft without the help from the pilot all the way to touch down. It will work seamlessly with UAVs and manned aircraft that have been retrofitted with ...
STTR Phase I 2015 Department of DefenseNavy -
LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)
SBC: ROBOTIC RESEARCH OPCO LLC Topic: N13AT016Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.
STTR Phase II 2015 Department of DefenseNavy -
Process diagnostics to quantify mechanical performance of AM parts
SBC: POLARONYX INC Topic: N16AT004This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...
STTR Phase I 2016 Department of DefenseNavy -
Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process Variation
SBC: VEXTEC CORPORATION Topic: N16AT004The Phase I objective is a proof of concept capability integrating process information, material properties and damage tolerance simulations into the Additive Manufacturing (AM) design certification process. VEXTEC has a toolbox of software and methods that consists of various software modules in multiple formats that are used to assess the durability of parts processed by traditional methods of c ...
STTR Phase I 2016 Department of DefenseNavy -
Large-scale Entity Linking and Disambiguation with DeepDive
SBC: CLEARCUT ANALYTICS, INC Topic: N16AT016DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...
STTR Phase I 2016 Department of DefenseNavy