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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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Vertical GaN Substrates
SBC: SIXPOINT MATERIALS, INC. Topic: DEFOA0000941SixPoint Materials will create low-cost, high-quality vertical gallium nitride (GaN) substrates using a multi-phase production approach that employs both hydride vapor phase epitaxy (HVPE) technology and ammonothermal growth techniques to lower costs and maintain crystal quality. Substrates are thin wafers of semiconducting material needed for power devices. In its two-phase project, SixPoint Mate ...
STTR Phase II 2017 Department of EnergyARPA-E -
VOC Breath Analysis with Ultra-Sensitive Microwave Spectroscopy
SBC: NOKOMIS INC Topic: DHP16C002Nokomis proposes to develop a real-time microwave spectroscopy device to identify Volatile Organic Compounds (VOCs) associated with Pulmonary Oxygen Toxicity. Exhaled breath contains VOCs that act as signatures of bodily health, and are able to be utilized for health diagnostics. The proposed work will demonstrate sensitivity to the presence of chemicals at less than 50 ppb concentration levels, a ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Ultra-Wide Band RF Quantitative Diagnostics of Burn Injuries
SBC: NOKOMIS INC Topic: DHP16C005This proposal is dedicated to development of portable device for -on site- diagnostic of burn injury. The design will utilize a technology Ultra-Wide Band RF waves of ultra-low intensity (harmless by Federal Standards). The emitted RF waves will reflect from boundaries between tissues normal and damaged by injury to quantitatively characterize severity of burn and would require minimal skills fro ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Interactive Mixed Media Education augmented Reality Simulation Engine (IMMERSE)
SBC: CHI SYSTEMS INC Topic: DHA17A003CHI Systems, in partnership with the Virginia Serious Games Institute, proposes to design, develop, and assess the Interactive Mixed Media augmented Reality Simulation Engine (IMMERSE) technology, a compelling and instructionally rich training experience using augmented and mixed-reality for TC3 trainees, and then evaluate the impact of the IMMERSE approach on trainee understanding and training ef ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Real-time Modulated Imaging for Assessment of Tissue Viability Prior to Skin Grafts
SBC: Modulated Imaging Inc. Topic: DHA17A006There is a lack of quantitative tools to accurately map tissue viability in a rapid and quantitative manner so a surgeon can properly excise tissue prior to grafting. Spatial Frequency Domain Imaging (SFDI) is an optical method that has been shown to be a reliable method for physiology assessment - particularly for burn depth. SFDI measures of tissue structure (scattering) and function (hemoglobi ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Novel Mixed-mode TCAD-Commercial PDK Integrated Flow for Radiation Hardening By Design
SBC: CFD RESEARCH CORPORATION Topic: DTRA16A003Cost-effective application of advanced commercial electronics technologies in DoD space systems requires early development of radiation-hardened-by-design (RHBD) techniques, and use of simulations is critical to the efficiency of this process. CFDRC has developed an integrated, mixed-mode simulation approach allowing their NanoTCAD device physics simulator to interface with commercial circuit simu ...
STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
In-Mask Sensors for Physiological Investigation of Respiratory Exhalation- INSPIRE
SBC: MAKEL ENGINEERING, INC. Topic: DHP16C002Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Mask integrated Volatile Organic Compound (VOC) sensor for real-time warfighter physiological status monitoring in extreme and toxic environments
SBC: BAYSPEC, INC. Topic: DHP16C002BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Multimodal imaging system for burn injury assessment
SBC: UTOPIACOMPRESSION,CORPORATION Topic: DHP16C005The goal of this STTR effort is to design a portable, multimodal, non-contact imaging system for burn depth diagnosis and tracking of wound healing. UC and Vanderbilt University will build upon our previous efforts demonstrated via porcine model studies to combine results from structural B-mode optical coherence tomography (OCT) images and functional data (pulse speckle imaging- PSI) to classify d ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
An Open-Source Platform for Inter-Network Analytics of High-Consequence Events
SBC: ANOMALEE INC. Topic: DTRA14B003Objectives and Intellectual Merit: The infrastructure of modern civilization is a set of complex systems1 that dynamically interact across multiple layers of abstraction. Researchers from many disciplines2 are designing analytical tools for predicting the global and local behaviors of these complicated, multi-layer networks. Easily usable, available (open source) and inter-operated tools are neede ...
STTR Phase I 2015 Department of DefenseDefense Threat Reduction Agency