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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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Stochastic Consideration of Cased Munitions for Casing Breakup and Airblast
SBC: KARAGOZIAN & CASE, INC. Topic: DTRA102003OBJECTIVE: To develop an analytic method to predict fragment characterization and the resulting airblast propagation from the detonation of a cased explosive. Current procedures are heuristic, based on empirical analysis of test data and simplified analytic expressions. While these work satisfactorily for traditional munitions that detonate in conditions similar to the testing arenas, there is co ...
SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency -
Solutions for Single-Event Effects in Ultra Deep Submicron Semiconductor Technologies Using Simulation and Layout Techniques
SBC: ROBUST CHIP INC. Topic: DTRA102008Robust Chip (RCI) and Vanderbilt University (Vanderbilt) propose a joint project to create and characterize a comprehensive, accurate, single event simulation solution for ultra scaled (45nm, 32nm, and below) CMOS technologies. The project focus is on developing a production strength single event analysis solution for 45nm, 28nm and 22nm CMOS, building on the most advanced single event characteriz ...
SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency -
Predicting Ultra High-Performance Concrete (UHPC) Residual Strength after Multiple Penetrations and Blasts
SBC: KARAGOZIAN & CASE, INC. Topic: DTRA092013The primary objective for the proposed effort is to develop innovative fast-running models (FRMs) that are based on data generated by High-Fidelity Physics-Based (HFPB) models; these FRMs are to predict the damage, responses, and subsequent residual strength of walls and slabs composed of UHPC or HPC materials of the kind that would be used in hardened bunkers. Of particular interest is to create ...
SBIR Phase II 2011 Department of DefenseDefense Threat Reduction Agency
