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. PathEngine: A Platform To Automate the Integration of Data To Predict Pathogenic Potential

    SBC: NETRIAS, LLC            Topic: ST18C002

    New pathogens, both naturally occurring and adversary-engineered, are increasingly likely to emerge and represent a significant and growing risk to global health and security. These new threats often have limited genetic similarity to prior known pathogens and cannot be identified through standard genetic tests. The application of machine learning algorithms to phenotypic tests to predict pathogen ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. Methane Harvesting for Seafloor Power Generation

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: ST18C005

    The US Navy, industry and the scientific community is using and developing a variety of AUVs, underwater sensors, and other systems that can be easily deployed and operated with minimal maintenance or recurring costs. A primary hindrance to the long-term implementation of these systems is the availability of in situ energy. The concepts presented herein focus on the harvesting of methane from seep ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  3. Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework

    SBC: STREAMLINE NUMERICS INC            Topic: AF18BT010

    The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Computerized Robotic Delayering and Polishing System

    SBC: SPECTRAL ENERGIES LLC            Topic: DMEA18B001

    The proposed research and technical objectives in this project deal with computerized automatic delayering and polishing system that would be applicable to both commercial and government semiconductor device research and development with applications including Failure Analysis (FA), Fault Isolation (FI), and Reverse Engineering (RE) of semiconductor microelectronic devices. This project could hel ...

    STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  5. Additive Manufactured Smart Structures with Discrete Embedded Sensors

    SBC: 3DFlexible Inc            Topic: A17AT024

    Recent advances in 3D structure printing and 3D direct printed electronics have widened the scope of possibilities for the Internet of Things (IoT). New near room temperature 3D direct ink writing (DIW) additive manufacturing (AM) printing processes allow many different type of sensors and they can be embedded anywhere in a structure, which offers several benefits. 1. Protection: sensors face degr ...

    STTR Phase II 2019 Department of DefenseArmy
  6. Ultra Harsh Environment Yttria-Stabilized Zirconia (YSZ) Sensor for Hypersonic Test Facilities

    SBC: Innoveering, LLC            Topic: AF17AT002

    The YSZ Environment Sensing (YES) sensor is an electrochemical sensor that offers temperature, oxygen concentration and pressure measurement solution in ultra-harsh environments common in hypersonic ground test facilities. Its key component is the yttria-stabilized zirconia, which has a history of being utilized as a thermal barrier coating for jet engines, will survive elevated temperatures beyon ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. Crystal Identification and Delivery Technology for Serial Synchrotron Crystallography

    SBC: MITEGEN, LLC            Topic: 26a

    Atomic structures of biomolecules (e.g., proteins) and biomolecular complexes facilitate detailed understanding of biomolecular function. They are key drivers of the ongoing revolution in molecular biology and of many areas of biotechnology, including development of pharmaceuticals and of enzymes and light harvesters for bioenergy. Most biomolecular structures are determined by X-ray crystallograp ...

    STTR Phase I 2019 Department of Energy
  8. Scalable Framework for Integrating Multi-Omics Data for Biosystem Analysis

    SBC: Omics Data Automation, Inc.            Topic: 01a

    Understanding the genomic basis of economically important plants for growth time, crop yield, responses to drought and disease resistance is of critical importance to sustaining and improving food supplies for humans and livestock, as well as insuring sufficient raw material availability for industries that depend on plant materials, such as biofuel manufacture. Current computational methods for a ...

    STTR Phase I 2019 Department of Energy
  9. Compositionally Gradient Garnet/PVDF-HFP Hybrid Membranes for Li-Metal Batteries

    SBC: HAZEN RESEARCH, INC.            Topic: 19a

    Development of Li-ion conducting membranes capable of supporting Li-metal anode to enable high- performance Li-metal batteries (LiMB) is a priority for the Department of Energy (DOE). State-of- the-art membranes used for Li-ion batteries (LiB) are not suitable for LiMB and have a number of disadvantages including poor cycling performance, low Li-ion conductivity, and electrochemical stability with ...

    STTR Phase I 2019 Department of Energy
  10. SLACA: Self-Learned Agents for Collective Aerial Video Analysis

    SBC: Intelligent Automation, Inc.            Topic: AF18BT002

    For this STTR Intelligent Automation, Inc. teams with researchers from University of Maryland, College Park to develop SLA, a self-learned agent system for collective human activities and events in aerial videos. Aerial video analytics often faces challenges such as low resolution, shadows, varied spatio-temporal dynamics, etc. The traditional methods depending on the object detection and tracking ...

    STTR Phase I 2019 Department of DefenseAir Force
US Flag An Official Website of the United States Government