You are here
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.
SBC: REACTION SYSTEMS, INC. Topic: A16AT001
The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...STTR Phase I 2016 Department of DefenseArmy
SBC: Digital Analog Integration, Inc. Topic: A15AT005
There is an unmet demand for ultra-low-power, ultra-compact and low-cost radios to address emerging sensing and communication needs for military and commercial applications such as IoT/IoE. To overcome the limitations in existing bulky and power hungry radios, we propose a disruptive solution by integration of a nano-scaled THz transceiver, on-chip antenna, and energy harvesting circuits in a form ...STTR Phase II 2016 Department of DefenseArmy
SBC: Pranalytica, Inc. Topic: A14AT015
In response to the Army STTR Topic A14A-T015 solicitation for tunable high-power LWIR lasers for standoff detection applications, Pranalytica proposed to develop a compact, rugged and highly reliable wavelength tunable quantum cascade laser (QCL) module delivering over 5W of peak power and over 0.5W of average power in the spectral region spanning from 7 to 11m. The proposed approach is based on a ...STTR Phase II 2016 Department of DefenseArmy
SBC: ADA TECHNOLOGIES, INC. Topic: A15AT010
ADA Technologies, Inc. (ADA) and Dr. Massoud Pedram at the University of Southern California (USC) have successfully completed a Phase I STTR effort for the development of a lithium ion (Li-ion)/ supercapacitor hybrid electrical energy storage system (HEESS) to afford pulse power characteristics (projected ~10 kW/kg) in a high energy system (100-150 Wh/kg). The system is enabled via a constant cur ...STTR Phase II 2016 Department of DefenseArmy
SBC: NESS ENGINEERING, INC. Topic: A14AT004
The objective of this Phase II proposal is to continue the development of a Photoconductive Semiconductor Switch (PCSS) with an integrated optical trigger that can switch at least 30 kV, 1 kA, 20 ns pulses with jitter 108 shots. Ness Engineering, Inc. (NEI) and Texas Tech University (TTU) propose to utilize wide bandgap materials to demonstrate lock-on switching and allow much less optical trigger ...STTR Phase II 2016 Department of DefenseArmy
SBC: COLDQUANTA, INC. Topic: A15AT009
We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and computing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce a manufacturable, commercializa ...STTR Phase II 2016 Department of DefenseArmy
Parallel Two-Electron Reduced Density Matrix Based Electronic Structure Software for Highly Correlated Molecules and MaterialsSBC: Q-CHEM INC Topic: A14AT013
Variational two-electron reduced-density-matrix (v2RDM) methods can provide a reference-independent description of the electronic structure of many-electron systems that naturally captures multireference correlation effects. These methods offer one of the few possible routes to performing the large-active-space computations that are necessary for the qualitative description of strongly-correlated ...STTR Phase II 2016 Department of DefenseArmy
SBC: PHYSICAL SCIENCES INC. Topic: A15AT007
Physical Sciences Inc. in collaboration with Colorado State University proposes to develop a compact infrared flash 3D imaging sensor employing compressive sensing (CS) approaches. The CS 3D sensor offers a combination of high range resolution (10 cm), high point cloud density (6464 format), and fast 3D image frame rates (10 Hz) in a low cost, compact form factor employing commercial off the shelf ...STTR Phase II 2016 Department of DefenseArmy
SBC: Cognionics, Inc. Topic: A16AT014
This STTR project will develop a wearable sensor suite for accurate assessment of circadian and sleep rhythms with the goal to identify abnormalities in PTSD patients and enable personalized therapy to help restore their normal functional and quality of life. Phase I has already demonstrated proof-of-principle hardware. The primary Phase II objective is to successfully carry out a human subjects s ...STTR Phase II 2018 Department of DefenseArmy
SBC: Pixelligent Technologies, LLC Topic: A15AT018
Improving vehicle fuel efficiency for the military can significantly reduce costs and reduce risk to solider safety. One way to improve vehicle efficiency for new and legacy vehicles is to reduce frictional loses in the drivetrain through use of lower viscosity lubricants. However, this comes with the risk of reducing durability of drivetrain components through increased wear, pitting and scuffing ...STTR Phase II 2018 Department of DefenseArmy