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Award Data

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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. Accurate Flow-Through Conductivity Sensor for Autonomous Systems

    SBC: D 2 INC            Topic: N18AT022

    UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Additive manufacturing for Li-ion batteries

    SBC: PHYSICAL SCIENCES INC.            Topic: N18AT008

    Physical Sciences Inc. (PSI) will develop novel feedstocks for 3D printing of lithium-ion batteries using existing additive manufacturing technologies. Lithium-ion batteries simultaneously offering high energy and power density energy will be demonstrated using the novel feedstock materials. PSI’s proprietary HA coating technology will be utilized in the feedstock formulations to maximize active ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. 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
  5. Advanced Ship-handling Simulators

    SBC: D'Angelo Technologies, LLC            Topic: N18AT014

    There is a need to create an automated, adaptive, real time coaching module that can integrate the Conning Officer Virtual Environment (COVE) along with the associated Intelligent Tutor System (COVE-ITS) and the Conning-Officer Ship Handling Assessment (COSA) together. By automating the evaluation process, Surface Warfare Officers (SWOs) will have the opportunity to use the COVE simulations more f ...

    STTR Phase I 2018 Department of DefenseNavy
  6. 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
  7. 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
  8. 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
  9. ALCHEMI: Attacker Learning in Cybernetworks using Heterogeneous Energy-guided Model Inference

    SBC: APTIMA INC            Topic: N19AT021

    The United States relies on networks of cyber-physical systems to conduct military and commercial operations, such as logistics, transportation, information sharing, energy production and distribution, financial transactions, elections, and infrastructure management. As the volume and diversity of cyber-attacks on these networks dramatically increase, there is a growing need for advanced tools and ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: N&R ENGNERING MGT SUPPORT SVCS            Topic: N10AT010

    The Phase I deliverable will be a physic-based model which represents a CMC gas turbine component concomitantly at the material level and the structural level. This model will be probabilistically analyzed to account for the uncertainties in material properties and the uncertainties in the size and impact velocities of possible foreign objects (FOD). A ceramic material must display sufficient capa ...

    STTR Phase I 2010 Department of DefenseNavy
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