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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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Reliable Manufacturing of Scandia-doped Tungsten Powders for Thermionic Cathodes
SBC: NGIMAT, LLC Topic: N15AT010In this Phase II STTR effort, nGimat will partner with the University of Kentucky (UK) and 3M/Ceradyne to continue development of W-scandate cathode composite materials. Compared to conventional M-type cathodes, these composite scandate nanomaterials will enable longer cathode lifetime by lowering the required operating temperature. nGimat is an established and successful powder manufacturing comp ...
STTR Phase II 2017 Department of DefenseNavy -
Nanocomposite Scandate Tungsten Powder for High Current Density and Long Life Thermionic Cathodes
SBC: Vacuum Process Engineering, Inc. Topic: N15AT010Vacuum Process Engineering, Inc. (VPE), in collaboration with the University of California, Davis (UC Davis), proposes to develop and quantitatively verify a large scale production process for scandate tungsten nanocomposite powder to be used in high current density and long life cathodes during the Phase II effort. The plan for implementation of the large scale production process at VPE with powd ...
STTR Phase II 2017 Department of DefenseNavy -
Fast and Flexible Differential Equation Model Fitting with Application to Pharmacometrics
SBC: Metrum Research Group LLC Topic: N16AT016We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...
STTR Phase II 2017 Department of DefenseNavy -
Reliable, Safe, Lithium-ion Battery Enabled by a Robust Battery Management System
SBC: Space Information Laboratories, LLC Topic: N15AT001An advanced Li-Ion Battery Management System for DOD mission and safety critical platforms. The majority of Li-Ion Battery Management Systems (BMS) for DoD aircraft, helicopter, and directed energy weapons are custom designs for the individual Aerospace platform. This leads to increased cost over the battery life cycle due to the requirement to maintain the production facilities which produce repl ...
STTR Phase II 2017 Department of DefenseNavy -
Spatiotemporal Shaping for Parallel Additive Manufacturing
SBC: POLARONYX INC Topic: N17AT030This Navy STTR Phase I proposal presents an parallel AM tool to eliminate conventional scanning strategy. A 2D MEMS array is used to shape both in time domain and spatial domain to obtain the desired pattern for layer by layer process. Modeling is used to study in-process melting evolution versus powder and beam properties. It provides quantitative characterization of the AM system to guide the de ...
STTR Phase I 2017 Department of DefenseNavy -
Embedded Space Analytics
SBC: INFOBEYOND TECHNOLOGY LLC Topic: N16AT020Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...
STTR Phase II 2017 Department of DefenseNavy -
Electro-Optic Transmissive Scanner
SBC: ULTIMARA INC Topic: N17AT001The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...
STTR Phase I 2017 Department of DefenseNavy -
Adaptive Optics controlled nonlinear propagation of USLP
SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC Topic: N17AT024Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...
STTR Phase I 2017 Department of DefenseNavy -
Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...
STTR Phase I 2017 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...
STTR Phase I 2017 Department of DefenseNavy