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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. Atomic fusion wafer bonding tool for ultra-high power switches

    SBC: PARTOW TECHNOLOGIES LLC            Topic: OSD22B004

    Ultra-Wide bandgap materials such as GaN and Ga2O3 are emerging as preferred materials in high power applications due to their high breakdown field. The thermal dissipation is poor in both those materials due to low thermal conductivity. A high thermal conductivity material such as SiC is used as a growing substrate, however, the thermal conductivity is still limited due to defects in the interfac ...

    STTR Phase I 2023 Department of DefenseOffice of the Secretary of Defense
  2. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...

    STTR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  4. First-principles-based framework for discovery and design of sustainable non-rare-earth high-temperature alloy systems

    SBC: CFD RESEARCH CORPORATION            Topic: OSD12T06

    The aim of this STTR program is to develop protocols to discover rare-earth-free/rare-earth-lean magnetic alloys for replacing rare earth (RE) -based alloys for reducing the dependence of supply from China. The development of non-RE high temperature magnetic materials is very challenging. In Phase I, CFDRC in collaboration with its university partner has demonstrated a proof-of-concept computation ...

    STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  5. Human-Centric Training and Assessment System for Cyber Situational Awareness

    SBC: Scalable Network Technologies, Inc.            Topic: OSD12T08

    The goal of the proposed work is to develop a human-centric training and assessment system for cyber situation awareness. The envisioned system will enable instructors to define training goals, design lesson plans, assign students roles in teams, and observe students performance, record events and interactions for scoring. The instructor/students can place tags (time or event) to roll back or repl ...

    STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  6. 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
  7. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  8. Modular Continuous Energetic Production System

    SBC: SYNTHIO CHEMICALS INC            Topic: OSD21C003

    This program will develop and demonstrate a novel modular, continuous synthesis platform that can be rapidly reconfigured to produce multiple classes of energetic materials. Continuous synthesis of energetic materials has clear safety advantages, but current approaches are slow to realize due to long process development timelines. The proposed program will develop a system integration and control ...

    STTR Phase I 2022 Department of DefenseOffice of the Secretary of Defense
  9. Modular Continuous Energetic Production System

    SBC: SYNTHIO CHEMICALS INC            Topic: OSD21C003

    This program will develop and demonstrate a novel modular, continuous synthesis platform that can be rapidly reconfigured to produce multiple classes of energetic materials. Continuous synthesis of energetic materials has clear safety advantages, but current approaches are slow to realize due to long process development timelines. The proposed program will develop a system integration and control ...

    STTR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
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