You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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.

  1. 3D Printed Ablative Re-Entry Vehicle Heat Shields

    SBC: MANTIS COMPOSITES INC            Topic: DLA23A003

    Re-Entry Vehicles (RVs) are a critical component of the strategic weapon arsenal. While physics packages themselves have a substantial deterrence value, the ability to deliver those weapons quickly and with high survivability unlocks the ability to maintain a truly global deterrence. However, these thermal protection systems are encountering two developing challenges: Industrial Base Attrition: Th ...

    STTR Phase I 2023 Department of DefenseDefense Logistics Agency
  2. Improved surface interface of OPF and PAN carbon fibers for Carbon-Carbon processing

    SBC: ALKEMIX CORPORATION            Topic: DLA23A003

    Specialized materials such as Carbon-Carbon (C-C) are required as primary structural and thermal protection elements to sustain the severe temperatures on the surface of Hypersonic Vehicles during high-speed flight. The C-C material currently qualified at Northrop in Hypersonic Glide-Bodies or “Aeroshells” consist of phenolic resin and a low fired, stretch broken polyacrylonitrile fiber (LFSP ...

    STTR Phase I 2023 Department of DefenseDefense Logistics Agency
  3. Low Cost MLMI as a Hypersonic Aerostructure with TPS

    SBC: Peregrine Falcon Corporation            Topic: DLA23A003

    As Hypersonic weapons enter the US arsenal there is a need for cost control and high rate of production which is currently not being met by the current state of the art material systems, like Carbon-Carbon. What is needed is a Thermal Protection System (TPS) for aero structures that can survive the Hypersonic environments of high heat in oxygenated environments. A means to do this is using Peregr ...

    STTR Phase I 2023 Department of DefenseDefense Logistics Agency
  4. Large Multi-Modal Scintillators

    SBC: CAPESYM INC            Topic: DTRA22D002

    This 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
  5. Low Cost W-Band Imaging Array

    SBC: MILLIMETER WAVE SYSTEMS LLC            Topic: CBD22BT001

    Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  6. Rugged Ultrafast Radiation Hard Scintillators for Nuclear Battlefield

    SBC: CAPESYM INC            Topic: DTRA20B001

    This program seeks to develop ultrafast, radiation hard, and rugged scintillators for nuclear battlefields based on high  melting-point temperatures oxide crystal. Doping, co-doping, and alloying schemes will be explored to reach the target of < 5ns decay time, light yield >1000 ph/MeV, moderate energy resolution

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  7. Fast and Radiation Hard Scintillators for High Dose Detection

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA20B001

    The event of nuclear explosion generates harsh radiation conditions, evaluation of which is critical in protecting 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 in ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  8. Compact Laser Drivers for Photoconductive Semiconductor Switches- STTR Phase II Sequential

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, produced by high altitude electromagnetic pulse (HEMP) caused by nuclear detonations and high-power microwave (HPM) Directed Energy (DE) weapons it is important to understand not only the physics of the threats, but also to quantify the effects on mission-critical electrical systems. EMP/HMP simulators enable threat level testing of MCS and provid ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  9. SAR AI Training dataset generated using Reification

    SBC: Arete Associates            Topic: DTRA21B001

    The 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
  10. Numerics-Informed Neural Networks (NINNs)

    SBC: KARAGOZIAN & CASE, INC.            Topic: DTRA21B002

    The 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
US Flag An Official Website of the United States Government