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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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A Wavelength-scalable Dual-stage Photonic Integrated Circuit Spectrometer
SBC: Physical Sciences Inc. Topic: N19AT023In this program, Physical Sciences Inc. (PSI) will team with Professor Ali Adibi’s group at the Georgia Institute of Technology to develop a photonic integrated circuit (PIC) spectrometer that can simultaneously achieve high-resolution over wide-bandwidths using a scalable and foundry-ready approach. While a PIC-based spectrometer is a key component for on-chip Raman, fluorescence, and absorptio ...
STTR Phase I 2019 Department of DefenseNavy -
ALCHEMI: Attacker Learning in Cybernetworks using Heterogeneous Energy-guided Model Inference
SBC: APTIMA INC Topic: N19AT021The United States relies on networks of cyber-physical systems to conduct military and commercial operations, such as logistics, transportation, information sharing, energy production and distribution, financial transactions, elections, and infrastructure management. As the volume and diversity of cyber-attacks on these networks dramatically increase, there is a growing need for advanced tools and ...
STTR Phase I 2019 Department of DefenseNavy -
FPGA Vulnerability Analysis Tools
SBC: BLUERISC INC Topic: N19AT018BlueRISC's proposed solution takes the form of an automated toolkit that is able to analyze an FPGA bitstream with respect to exploitability. The solution relies on an FPGA-agnostic framework for automatically reverse-engineering an FPGA-bitstream into an intermediate representation (IR). This IR is FPGA agnostic and enables a program-analytic framework for extracting a fundamental FPGA-centric Vu ...
STTR Phase I 2019 Department of DefenseNavy -
Cyber Adversary Discovery Engine (CADE)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N19AT021We propose to design and build the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals and tactics, techniques and procedures (TTPs). CADE can further automatically recognize changes in adversary TTPs that occur in forensic data. A key technical capab ...
STTR Phase I 2019 Department of DefenseNavy -
Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development
SBC: CFD RESEARCH CORPORATION Topic: N19AT020Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...
STTR Phase I 2019 Department of DefenseNavy -
Targeted Enhancement of Critical Composite Interfaces using Vertically Aligned Carbon Nanotubes
SBC: N12 TECHNOLOGIES, INC. Topic: N19AT003Vertically-aligned carbon nanotubes (VACNTs) will be selectively applied at interfaces in laminated composite structures to effect locally the mechanical properties that limit rotorcraft structures, such as fatigue and damage tolerance. In Phase I this work will quantify these effects in CFRP and CFRP/GFRP hybrid coupons. The VACNT material will be transferred directly onto prepreg plies, but also ...
STTR Phase I 2019 Department of DefenseNavy -
Interlaminar Reinforcement of Composite Rotorcraft Components via Tailored Nanomorphologies of Aligned Carbon Nanotubes (A-CNTs)
SBC: METIS DESIGN CORP Topic: N19AT003Composites are often used in aerospace applications due to their superior specific strength and stiffness properties, as well as their resistance to fatigue and corrosion. In particular for rotorcraft, composites offer additional benefits for their versatility in tailoring material properties for such components as rotor blades. However, rotors introduce additional challenges by including multiple ...
STTR Phase I 2019 Department of DefenseNavy -
High Speed Spinning Scroll Expander (HiSSSE)- Organic Rankine Cycle for Increased Naval Ship Power Density and Fuel Efficiency
SBC: Air Squared, Inc. Topic: N19AT013Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...
STTR Phase I 2019 Department of DefenseNavy -
Propagation Established through Autonomous Raman Lidar (PEARL)
SBC: SPECTRAL SCIENCES INC Topic: N19AT015Accurate characterization of and propagation modeling through the Marine Boundary Layer is critical for maximizing Electro-Magnetic (EM) systems signal exploitation for naval asset offensive, defensive, and stealth operational performance. Strong temperature and humidity gradients in the Surface Boundary Layer lead to optical paths exhibiting Electro-Optic Infrared (EOIR) anomalous refraction and ...
STTR Phase I 2019 Department of DefenseNavy -
Power Dense Turbo-Compression Cooling Driven by Waste Heat
SBC: MANTEL TECHNOLOGIES INC Topic: N19AT013The U.S. Navy seeks methods to improve the fuel economy of marine diesel engines through utilization of waste heat. Low temperature engine jacket water, lubrication oil, and aftercooler air are largely untapped streams of thermal energy on these ships, but their utilization circumvents many operation challenges associated with exhaust gases. For example, variable and high exhaust gas temperatures ...
STTR Phase I 2019 Department of DefenseNavy