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: PIXON LLC Topic: N/A
Two fundamental challenges face development of the magnetic-resonance force microscope (MRFM): sensitivity and image deconvolution. Because of the non-local nature of the MRFM response to a single spin, image processing of as-captured MRFM data will be socritical a component of the instrument that its performance will have a profound impact on the entire system design. In this Phase I STTR project ...STTR Phase I 2002 Department of DefenseArmy
SBC: SENSERA, INC. Topic: N/A
Sensera, Inc., in collaboration with U. of Central Florida, proposes to develop a rapid real-time sensor for fluorescent detection of Biological Warfare Agent (BWA) micro-organisms in water. The proposed sensor does not require the additional steps oftypical heterogeneous immunoassays such as: multiple reagent additions, incubation, and washing steps. We propose two biomimetic coating platforms ...STTR Phase I 2002 Department of DefenseArmy
SBC: TRITON SYSTEMS, INC. Topic: N/A
Triton Systems, Inc. and the University of California, Santa Barbara are developing a low-cost, hybrid composite technology which combines the high temperature corrosion resistance of ceramic matrix composite surfaces with the high strength, high thermalconductivity, machinability and weldability of a metal matrix composite. These highly integrated metal-ceramic matrix composite (MCMCÂ¿) structu ...STTR Phase I 2002 Department of DefenseArmy
SBC: GINER INC Topic: N/A
The proton-exchange membrane fuel cell has the potential to be used as a power source for the military. The fuel cell would derive its fuel from a reformed liquid such as diesel, methanol or gasoline that, in addition to hydrogen, would produce speciessuch as CO that could poison the fuel cell anode catalyst. To overcome the poisoning problem, a team consisting of GINER ELECTROCHEMICAL SYSTEMS, LL ...STTR Phase I 2002 Department of DefenseArmy
SBC: ACTA, LLC Topic: N/A
This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. Car ...STTR Phase I 2003 Department of DefenseArmy
SBC: Calabazas Creek Research, Inc. Topic: N/A
We propose to investigate innovative, wideband, traveling-wave tubes (TWTs) compatible with three-dimensional (3D) micro-electro-mechanical systems (MEMS) fabrication techniques for millimeter or sub-millimeter wave applications. At least three novelinteraction circuits designed around MEMS fabrication technology will be investigated, as well as a novel electron beam source using field emission a ...STTR Phase I 2003 Department of DefenseArmy
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N/A
Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters accordingly to ensure robust accuracy and low false-alarm rate. For example, the signature of a target imagedunder ideal weather conditions (overcast skies) is fundamentally different from the signature of a target imaged when raining. Therefore, a single A ...STTR Phase I 2003 Department of DefenseArmy
SBC: DBC Technology Corp. Topic: N/A
The Phase I program objectives were successfully completed. In addition, novel ideas were developed that will be of use in the Phase II program and in the field of algorithm development and sensor characterization in the laboratory. Work on new algorithmswas initiated to optimize wavelength selection for vapor and aerosol detection, a detailed design for obtaining sensor detection statistics in th ...STTR Phase I 2003 Department of DefenseArmy
SBC: FuelCell Energy, Inc. Topic: N/A
To be commercially competitive, PEM fuel cells have to be able to run on readily available fuels. Fuel reformers are practical, but fuel cell anode catalysts are severely poisoned by small quantities of carbon monoxide from the reformer. Despite mucheffort invested into increasing CO tolerance, desired performance levels have not been achieved.Our Phase I data has demonstrated excellent CO-toler ...STTR Phase I 2003 Department of DefenseArmy
SBC: Intelligent Automation, Inc. Topic: N/A
The key innovation proposed in this STTR effort by Intelligent Automation, Inc. and Duke University is a hybrid level set based algorithm to achieve dynamic perimeter surveillance within a region by constructing an evolving function based on the perceiveddensity of a phenomenon. Drawing on state-of-the-art image processing methodologies, the hybrid solution offers the flexibilities of an Eulerian ...STTR Phase I 2003 Department of DefenseArmy