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.
Innovative additive manufacturing (AM) process for successful production of 7000 series aluminum alloy components using Smart Optical Monitoring SysteSBC: SENSIGMA LLC Topic: N18AT005
Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes falls short of producing 7000 series Al alloys successfully due to lack of porosity, thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and other m ...STTR Phase I 2018 Department of DefenseNavy
SBC: AKITA INNOVATIONS LLC Topic: N18AT008
Demand for portable power continues to expand, and new portable devices require increased variability in form factor. Furthermore, expired batteries may not be easily replaceable due to the lack of standard geometries. New manufacturing technologies are necessary to respond to each of the challenges. Additive manufacturing (AM) is a promising approach that is well known for its ability to quickly ...STTR Phase I 2018 Department of DefenseNavy
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: N18AT009
This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...STTR Phase I 2018 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N18AT011
Materials for thermal protection are required to protect structural components of space vehicles during the re-entry stage, missile launching systems, and solid rocket motors (SRMs). Polymer resins that have high char retention (e.g., phenolic resins) are the most common matrices in the composite materials for rigid thermal protection systems (TPSs) due to their tunable density, lower cost, and hi ...STTR Phase I 2018 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N18AT013
Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technol ...STTR Phase I 2018 Department of DefenseNavy
SBC: APTIMA INC Topic: N18AT003
As the number of emerging warfare capabilities increases, adaptive training is required in order to keep pace with the corresponding increase in the scale and complexity of training regimes. To enable truly adaptive training, training systems need to both (1) automatically generate training scenarios and (2) automatically assess trainee performance. Lastly, (3) diagnostic visualization technologie ...STTR Phase I 2018 Department of DefenseNavy
SBC: RAM LABORATORIES Topic: N18AT027
The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...STTR Phase I 2018 Department of DefenseNavy
SBC: KARAGOZIAN & CASE, INC. Topic: N18AT006
Karagozian & Case Inc. and the University of Nebraska-Lincoln Department of Civil Engineering are proposing a Phase I STTR to develop a non-invasive and non-destructive methodology capable of measuring concrete material properties, including relevant spatial and statistical information associated with them, for input to hydrocode models. The solution will be both laboratory and field deployable, w ...STTR Phase I 2018 Department of DefenseNavy
SBC: PHYSICAL SCIENCES INC. Topic: N18AT008
Physical Sciences Inc. (PSI) will develop novel feedstocks for 3D printing of lithium-ion batteries using existing additive manufacturing technologies. Lithium-ion batteries simultaneously offering high energy and power density energy will be demonstrated using the novel feedstock materials. PSI’s proprietary HA coating technology will be utilized in the feedstock formulations to maximize active ...STTR Phase I 2018 Department of DefenseNavy
SBC: PHOTONWARES CORP Topic: N18AT001
We propose to utilize a laser 3D printing manufacturing technique to realize an ultra high efficiency micro-channel laser head cooling system with high thermal load capacity in a small volume package. The new approach incorporates key technical innovations that drastically increase the forced water flow interaction surface area and the metal thermal conductivity. The approach enables conformal geo ...STTR Phase I 2018 Department of DefenseNavy