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: CFD RESEARCH CORPORATION Topic: MDA16T001
Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...STTR Phase II 2018 Department of DefenseMissile Defense Agency
Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.SBC: OCEANIT LABORATORIES INC Topic: N16AT008
Oceanit 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 II 2018 Department of DefenseNavy
SBC: OCEANIT LABORATORIES INC Topic: AF18CT003
Modern electronic warfare (EW) employs agile, dynamic, convert waveforms. It has become challenging for legacy electronic intelligence (ELINT) receivers to intercept such waveforms. To cover a wide frequency band, many frequencies must be scanned rapidly. Therefore, the probability of intercepting by the super heterodyne receiver is limited by the intermediate frequency (IF) bandwidth and tuning s ...STTR Phase I 2019 Department of DefenseAir Force
Evidence-Based, User-Centered Design Process for Improvement of the Utility of the Surface Electronic Warfare Display SuitSBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC. Topic: N11AT031
In Naval, surface electronic warfare (EW), visual displays form critical bridges between warfighters and the complex operational radio-frequency (RF) spectrum they must monitor and interpret. Surface electronic warfare operators and supervisors must monitor and interact with multiple, stove-piped display systems in order to perform their work. Further, the visual displays they employ are not desig ...STTR Phase II 2018 Department of DefenseNavy
Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point ofCare ApplicationsSBC: GENECAPTURE, INC. Topic: CBD15C001
GeneCapture, Inc. is proposing to develop a rapid in vitro diagnostic prototype using our patented molecular-based CAPTURE (ConfirmActive Pathogens Through Unamplified RNA Expression) assay. Based on the results and experience gained in our Phase I STTR contractHDTRA1-16C-0061: Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications, we p ...STTR Phase II 2018 Department of DefenseOffice for Chemical and Biological Defense
SBC: Kord Technologies, Inc. Topic: N19BT027
Accurate prediction heat transfer in gas turbine components subject to cooling requires high fidelity modeling of heat transfer in the presence of high Reynolds number turbulent flow. The cooling internal to the blades results in sustained temperature gradients within the structural parts, from low temperature in the interior of the structure to increasingly higher temperature closer to the surfac ...STTR Phase I 2019 Department of DefenseNavy
SBC: CASCADE TECHNOLOGIES INC Topic: N19BT027
Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...STTR Phase I 2019 Department of DefenseNavy
AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level SecuritySBC: E H Group, Inc. Topic: N19BT029
Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...STTR Phase I 2019 Department of DefenseNavy
SBC: CFD RESEARCH CORPORATION Topic: DHA19A001
Traumatic injuries account for 30% of all life years lost in the US and is the leading cause of death for people under 46 years of age. Uncontrolled bleeding or hemorrhage constitute 30-40% of trauma related deaths and are considered to be a major cause oSTTR Phase I 2019 Department of DefenseDefense Health Agency
SBC: Perceptronics Solutions, Inc. Topic: N19BT029
Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...STTR Phase I 2019 Department of DefenseNavy