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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
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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Adaptive Turbine Engine Control for Stall Threat Identification and Avoidance
SBC: AURORA FLIGHT SCIENCES CORPORATION Topic: N10AT008Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...
STTR Phase I 2010 Department of DefenseNavy -
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.
SBC: SENVOL LLC Topic: DLA18A001The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...
STTR Phase I 2018 Department of DefenseDefense Logistics Agency -
Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)
SBC: Northwest Uld, Inc. Topic: N10AT001Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...
STTR Phase I 2010 Department of DefenseNavy -
Advanced Software Tools for Lithium Ion Battery Risk Assessment (LIBRA)
SBC: Impact Technologies Topic: N10AT014Impact Technologies, in collaboration with the Georgia Tech Center for Innovative Fuel Cell and Battery Technologies, proposes to develop tools for Lithium Ion Battery Risk Assessment (LIBRA). These tools will allow the Navy to analyze proposed Li-Ion battery designs and assess the overall risk to the platform in the event of failure in a single cell. The tool will also predict the effects of a ca ...
STTR Phase I 2010 Department of DefenseNavy -
A Fast-Response, Electronically Controlled Fuel Injection System for Small Heavy Fuel Engines with Multi-Fuel Capabilities
SBC: MAINSTREAM ENGINEERING CORP Topic: N10AT033Advances in electronically controlled injection technologies for diesel engines have provided a method to improve medium- to heavy-duty engine performance through increased injection pressures, multiple injections, and injection rate shaping. Although these injection systems have been primarily limited to larger engines, the ability to rapidly and precisely meter fuel for smaller engines is partic ...
STTR Phase I 2010 Department of DefenseNavy -
Ambient Noise Interferometry for Passive Characterization of Dynamic Environments
SBC: ZEL TECHNOLOGIES LLC Topic: N10AT004Non-invasive, stealthy nature of passive remote sensing combined with its low cost make passive techniques a promising supplement or replacement of traditional active remote sensing techniques. Coherent processing of diffuse wave fields has a proven potential for remote sensing of stationary environments. The proposed research extends noise interferometry to characterization of dynamic environment ...
STTR Phase I 2010 Department of DefenseNavy -
An Advanced Undersea Lithium Ion Management System (U-LIMS)
SBC: Impact Technologies Topic: N10AT013Impact Technologies, in collaboration with Penn State Applied Research Laboratory, proposes to develop an advanced Battery Monitoring and Management System (BMMS) for lithium-ion battery packs that ensures adequate, safe, and reliable operation. This system will focus on real time diagnostics, prediction of catastrophic failure, and risk assessment for individual cells in high power applications. ...
STTR Phase I 2010 Department of DefenseNavy -
Analysis of Dislocation Density, Recrystallization, and Residual Stress in 5XXX Aluminum using Laser Peening to mitigate Exfoliation Corrosion
SBC: HEPBURN AND SONS LLC Topic: N18AT016Hepburn and Sons LLC teaming with The Ohio State University, Center for Electron Microscopy and Analysis (CEMAS) propose to research and develop an innovative application of laser peening technology to mitigate exfoliation corrosion, a special type of inter-granular corrosion that occurs on the elongated grain boundaries. Strongly related, these Mg based alloys, when exposed to tensile stresses, c ...
STTR Phase I 2018 Department of DefenseNavy -
Atomic Triaxial Magnetometer
SBC: VESCENT PHOTONICS LLC Topic: N19AT006Vescent Photonics and MIT Lincoln Labs (MIT-LL) propose to develop a quantum-based vector magnetometer with low size, weight, power, and cost (SWaP+C) for Navy applications. The proposed system will rely on probing magnetically-sensitive, atomic-like transitions of nitrogen-vacancy (NV) centers in diamond to provide stable, high-bandwidth readout of the vector magnetic field with sub-picotesla sen ...
STTR Phase I 2019 Department of DefenseNavy -
Automated Human and System Performance Assessment in Operational Environments
SBC: ADVANCED ANTI-TERROR TECHNOLOGIES CORP Topic: N11AT001Our Fused-Realities-Assessments-Modules(FRAM) enables innovative new levels and types of automated quantification strategies for combining human and system performance in real-time for fused performance monitoring and after-action-review purposes. FRAM accomplishes this by fusing output of normative models of behaviors (cognitive/procedural/team), human states (physiological/affective), system sta ...
STTR Phase II 2013 Department of DefenseNavy