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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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Large Multi-Modal Scintillators
SBC: CAPESYM INC Topic: DTRA22D002This work is focused on the development of fabrication technology for large form-factor scintillation crystals for multi-modal detection of radioactive sources, and development of mobile imaging and mapping instruments based on these large format scintillators.
STTR Phase I 2023 Department of DefenseDefense Threat Reduction Agency -
SAR AI Training dataset generated using Reification
SBC: Arete Associates Topic: DTRA21B001The Synthetic Aperture Radar (SAR) Image Generation Data Augmentation (SIGDA) system is achieved using SAR simulators and the Arete’s Reification approach. Large, realistic datasets will be generated using the Arete Reification capability. These large Reified datasets are then used to train machine learning or Artificial Intelligence (AI), Automatic Target Recognition (ATR) classification algori ...
STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency -
Numerics-Informed Neural Networks (NINNs)
SBC: KARAGOZIAN & CASE, INC. Topic: DTRA21B002The overall goal is to develop numerics-informed neural networks (NINNs) and DeepOnets for chemical reactions and for PDEs with spatial derivatives improve the computational efficiency of the chemical kinetics models for chemical weapon agents and simulants. Based on the first NINN developed by the Karniadakis’s group in 2018, which blends the multi-step time-stepping with deep neural networks, ...
STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency -
Rugged Ultrafast Radiation Hard Scintillators for Nuclear Battlefield
SBC: CAPESYM INC Topic: DTRA20B001Scintillator radiation detectors offer high sensitivity and relatively accurate radionuclide detection at a reasonable price. However, most of the available commercial scintillators have long decay times ranging from hundreds of nanoseconds to tens of microseconds. As a result, they have limited performance in high dose rate environments such as nuclear battlefields, robotic nuclear weapons test s ...
STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency -
Fast and Radiation Hard Scintillators for High Dose Detection
SBC: RADIATION MONITORING DEVICES, INC. Topic: DTRA20B001The event of nuclear explosion generates harsh radiation conditions, evaluation of which is critical in order to protect the military and civilian personnel from serious harm. Due to these harsh conditions only very simple methods of radiation assessment are employed, such as measurement of equivalent dose. Improvements to current instrumentation are sought that would provide energy resolved dose ...
STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency -
Integrated Circuits
SBC: NU-TREK, INC. Topic: DTRA20B002The Nu-Trek team is proposing to develop µDet, a low Size, Weight, and Power (SWaP) read out integrated circuit (IC) for gamma and neuron detectors. µDet offers pulse shape digitization, which in turn enables gamma-neutron discrimination. This is a game changing capability that brings laboratory-level functionality to the field. In Phase I the Nu-Trek Team will develop a baseline design for the ...
STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency -
Bounding generalization risk for Deep Neural Networks
SBC: Euler Scientific Topic: NGA20A001Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels. In an ...
STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Multimode Organic Scintillators for Neutron/Gamma Detection
SBC: RADIATION MONITORING DEVICES, INC. Topic: DTRA19B003There is significant interest in multi-functional materials enabling gamma-ray spectroscopy, neutron/gamma pulse shape discrimination (PSD), ultra-fast response, and time-of-flight (TOF) neutron detection. These materials would be used in a variety of mission scenarios for the localization and monitoring of special nuclear materials. Commercial inorganic scintillators offer some of these character ...
STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency -
Hardened, Optically-Based Temperature Characterization of Detonation Environments
SBC: SA PHOTONICS, LLC Topic: DTRA19B001Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic that will enable wide dynamic range temperature mea ...
STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency -
Semantic Models for the Identification of Laboratory Equipment (SMILE)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: DTRA19B002Military operators must identify and catalogue the equipment they find when inspecting laboratory facilities. This information is used to determine the lab’s capabilities, including the lab’s potential for building weapons of mass destruction. Currently, operators use computer vision algorithms to help them classify equipment in pictures of laboratory environments. Unfortunately, current image ...
STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency