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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. Adaptive Turbine Engine Control for Stall Threat Identification and Avoidance

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: N10AT008

    Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)

    SBC: Northwest Uld, Inc.            Topic: N10AT001

    Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...

    STTR Phase I 2010 Department of DefenseNavy
  4. A Fast-Response, Electronically Controlled Fuel Injection System for Small Heavy Fuel Engines with Multi-Fuel Capabilities

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N10AT033

    Advances in electronically controlled injection technologies for diesel engines have provided a method to improve medium- to heavy-duty engine performance through increased injection pressures, multiple injections, and injection rate shaping. Although these injection systems have been primarily limited to larger engines, the ability to rapidly and precisely meter fuel for smaller engines is partic ...

    STTR Phase I 2010 Department of DefenseNavy
  5. A Hierarchical and Extendable, Component-Based Simulation Tool for Aircraft Thermal Management Systems

    SBC: CFD RESEARCH CORPORATION            Topic: N19BT025

    The requirements for thermal management on tactical aircraft systems have reached a level at which integrated system design must be considered early in the aircraft design process. An integrated propulsion, power and thermal modeling and simulation design approach is necessary for reduced size, weight and power requirements. At the same time, there is an urgent need for capabilities that enable an ...

    STTR Phase I 2019 Department of DefenseNavy
  6. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: EH GROUP INC            Topic: N19BT029

    Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Ambient Noise Interferometry for Passive Characterization of Dynamic Environments

    SBC: ZEL TECHNOLOGIES LLC            Topic: N10AT004

    Non-invasive, stealthy nature of passive remote sensing combined with its low cost make passive techniques a promising supplement or replacement of traditional active remote sensing techniques. Coherent processing of diffuse wave fields has a proven potential for remote sensing of stationary environments. The proposed research extends noise interferometry to characterization of dynamic environment ...

    STTR Phase I 2010 Department of DefenseNavy
  9. An adaptive and scalable SOA-based network resource virtualization framework for MANET

    SBC: Intelligent Automation, Inc.            Topic: N10AT006

    The key innovation of this proposal is to develop an adaptive and scalable network resource virtualization framework. The framework employs simple yet efficient mechanisms to deliver a comprehensive network resource virtualization solution through network virtualization, service discovery/advertisement, and service differentiation in mobile ad hoc networks (MANETs). It uses local caching to facili ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Analysis of Dislocation Density, Recrystallization, and Residual Stress in 5XXX Aluminum using Laser Peening to mitigate Exfoliation Corrosion

    SBC: HEPBURN AND SONS LLC            Topic: N18AT016

    Hepburn and Sons LLC teaming with The Ohio State University, Center for Electron Microscopy and Analysis (CEMAS) propose to research and develop an innovative application of laser peening technology to mitigate exfoliation corrosion, a special type of inter-granular corrosion that occurs on the elongated grain boundaries. Strongly related, these Mg based alloys, when exposed to tensile stresses, c ...

    STTR Phase I 2018 Department of DefenseNavy
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