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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  2. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  3. 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
  4. 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
  5. Expanding Access to Electronic Property Modeling in Scintillator Crystal Growth and Development

    SBC: Radiation Monitoring Devices, Inc.            Topic: 03a

    The development of radiation detection materials would benefit with greater access to computational models that relate physical traits seen in manufacture with complex energy transitions occurring in the material that control operating performance. However, the HPC requirements behind these models remain beyond the reach of most businesses involved in this small yet vital field impacting National ...

    STTR Phase I 2018 Department of Energy
  6. User Location-Specific Data for Smarter Smart Grids

    SBC: ERIK PAGE & ASSOCIATES, INC.            Topic: 06b

    Society at large and DOE in particular have an interest in the continued development and refinement of a smart grid infrastructure that more efficiently and reliably matches electrical resources to demands. While technological advances in recent years have improved the smart grid, these advances have been limited by a lack of granularity of data (e.g. environmental conditions at multiple locations ...

    STTR Phase I 2018 Department of Energy
  7. Novel isotope sensor for spatially-resolved analysis of nutrient exchange in the rhizosphere Topic: 22.a. Technologies for Characterizing the Rhizosphere: Plant-Microbe-Mineral Interactions

    SBC: Opto-knowledge Systems, Inc.            Topic: 22a

    Ensuring adequate agricultural productivity in the face of an increasing human population is a major concern with implications for both production of bioenergy products (Jones and Hinsinger, 2008) and global food security. Increasing agricultural productivity requires a stronger understanding of soil biogeochemical processes that impact plant nutrient availability. We propose development of an inn ...

    STTR Phase I 2018 Department of Energy
  8. Low-Cost Hybrid Plasmonic and Photonic "Campanile" Near-Field Probes by Nanoimprint Lithography

    SBC: Abeam Technologies Inc.            Topic: 07a

    Near-field scanning optical microscopy (NSOM) is a powerful and unique approach to characterize the chemical, physical and potentially biochemical properties of materials with the nanometer scale resolution in real-time. A key element for NSOM systems that combine optical spectroscopy with scanning probe microscopy, is the actual probe itself. While many commercial vendors offer off-the-shelf meta ...

    STTR Phase II 2018 Department of Energy
  9. High Power Ceramic Disk Lasers with Gradient Doping Made by Direct Ink Writing

    SBC: Radiation Monitoring Devices, Inc.            Topic: 25c

    The power output of the high power lasers used in physics research is limited by the materials available for making the gain media in the laser. Future increases in power will require new and better materials. Operation at high power creates great thermal stresses that can lead to effects such as birefringence, thermal lensing or even physical fracture damage to the host itself. Effective cooling ...

    STTR Phase I 2018 Department of Energy
  10. Predictive Analytics-Based US Inland Waterways Voyage Planning Analysis Tool (VSAT)

    SBC: Trabus            Topic: 01a

    Trabus Technologies (TRABUS), working with Louisiana State University (LSU), will develop a predictive analytics-based US Inland Waterways Voyage Planning Analysis tool to help vessel traffic managers, tow boat pilots, and river lock operators maximize transport logistic resources. This tool will use current and forecasted hydrographic, meteorological, lock status, and Marine Safety Information to ...

    STTR Phase I 2018 Department of Energy
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