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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.

  1. Provably Unclonable Functions on Re-configurable Devices

    SBC: IERUS TECHNOLOGIES INC            Topic: A18BT001

    The ability to authenticate electronic devices is an important step towards modernizing the hardware/software of our Nations communication systems. Protecting these targeted networks and devices from malicious cyber-based attacks is becoming increasingly important as the technological and cyber capabilities of our adversaries continue to advance. In addition to network security, device authenticat ...

    STTR Phase I 2018 Department of DefenseArmy
  2. Optimization of Fatigue Test Signal Compression Using the Wavelet Transform

    SBC: ATA ENGINEERING, INC.            Topic: N18BT029

    Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of tradit ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Detection of Radio Frequency and Magnetic Field Bioeffects in Living Cells

    SBC: OCEANIT LABORATORIES INC            Topic: AF18AT001

    Oceanit proposes to develop a system to characterize weak electromagnetic fields for the investigation of the effect of both thermal and non-thermal RF/magnetic fields on biological material, and to detect resulting biological impact of the energy deposited.

    STTR Phase I 2018 Department of DefenseAir Force
  5. Mechanically Static High Speed 3-D Optical/Digital Holographic Polarimeter

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF18AT007

    Phase I of this effort involves the creation of a comprehensive end-to-end model of a novel holographic polarimeter.The polarimeter that can be constructed based on our model will be able to determine the full polarization properties (Mueller matrix elements) of scattering, reflecting and absorbing media as a function of the materials depth.Unlike previous attempts, this system will be a real-time ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Novel Circulating RNA-based Markers as Diagnostic Biomarkers of Infectious Diseases

    SBC: CFD RESEARCH CORPORATION            Topic: CBD18A001

    In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  7. Marburg Virus Prophylactic Medical Countermeasure

    SBC: MAPP BIOPHARMACEUTICAL, INC.            Topic: CBD18A002

    There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  8. Marburg Virus Prophylactic Medical Countermeasure

    SBC: Flow Pharma, Inc.            Topic: CBD18A002

    Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  9. An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing

    SBC: Citrine Informatics, Inc.            Topic: N18AT013

    In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Analysis and Application of Treatments to Mitigate Exfoliation Corrosion (Delamination) of 5XXX Series Aluminum

    SBC: OCEANIT LABORATORIES INC            Topic: N18AT016

    Oceanit proposes to research and develop chemical or non-chemical methods and processes to impart surface morphology modifications to aluminum-magnesium (Al-Mg) alloys to mitigate and increase the exfoliation corrosion resistance.

    STTR Phase I 2018 Department of DefenseNavy
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