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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. In-situ Resources Production of Hydrogen and Hydrogen Peroxide from Water Using Nano-enabled Optical Fibers

    SBC: H2O INSIGHTS LLC            Topic: T7

    Photoelectrocatalytic processes (PECs) integrate the principles of photocatalysis (PC) and electrocatalysisnbsp;to improve the generation and stability of charge carriers, making them an effective way to produce H2 and H2O2. Reactor design is critical for optimal energy efficiency in activating advanced photocatalysts. Low energy efficiency in current PEC flat-plate reactor designs is due to light ...

    STTR Phase I 2023 National Aeronautics and Space Administration
  2. Sub-centimeter Resolution Lunar Digital Twin for Collaborative and Immersive Mission Planning

    SBC: ALPHACORE INC            Topic: T11

    Alphacore and Arizona State University (ASU) propose the development of hardware and software solutions for digital twins of regions of strategic interest on the moon, for robotic mission planning in preparation for and potentially during ARTEMIS human missions. We are developing a next generation imaging system for terrain mapping in dynamic lighting and thermal conditions. When deployed aboard r ...

    STTR Phase I 2023 National Aeronautics and Space Administration
  3. Simultaneous H2 Generation and Compression with Intermediate-Temperature Solid-Oxide Membranes

    SBC: PRECISION COMBUSTION, INC.            Topic: T7

    Precision Combustion, Inc. (PCI) proposes to develop and demonstrate simultaneous H2 generation and compression with intermediate-temperature solid-oxide membranes. The innovation is based on a novel cell architecture and materials, and processing techniques recently developed at PCI. Proof of concept testing of the new cell architecture indicated potential to be to be lightweight and presents sev ...

    STTR Phase I 2023 National Aeronautics and Space Administration
  4. Acoustics and Performance Scaling of a Low-Noise Tiltrotor for Urban Air Mobility Applications

    SBC: Technology In Blacksburg Inc            Topic: T15

    The team of Techsburg, AVEC, and Virginia Tech propose a program that directly complements the recent NASA/Joby Aviation flight test program by studying isolated low tip speed tiltrotor noise in detail, with an initial primary objective of the development and validation of scaling methods to extend tests and models to full-scale applications, including noise sources due to ingestion of naturally o ...

    STTR Phase I 2023 National Aeronautics and Space Administration
  5. Abrasion Resistant and Flame-Resistant Textile Materials for Lunar Environments

    SBC: NANOSONIC INC.            Topic: T6

    Abrasion and flame-resistant yarn and textiles will be developed to protect the ortho layer of spacesuits against the extreme lunar surface environments. Flexible, nanocomposite fibers will be produced using a novel fluoroelastomer siloxane material with demonstrated flame resistance in 36% oxygen environment. Siloxane segments with low glass transition temperatures are incorporated into copolymer ...

    STTR Phase I 2023 National Aeronautics and Space Administration
  6. Optimizing Facility Health Using System Digital Twins

    SBC: ITA International, LLC            Topic: T11

    Team ITA proposes a model-based, decision support digital twin, capable of guiding NASArsquo;s investment decisions at system level across the entire facility enterprise. The key elements of this innovation are investment optimization models and scenario modeling that leverage system degradation models and investment response models:Investment optimization models ndash; a set of global prescriptiv ...

    STTR Phase I 2023 National Aeronautics and Space Administration
  7. QuickSAT/SHERLOCK-MD, A System For Autonomous Operations And Health Management of Gateway

    SBC: SCI_ZONE INC            Topic: T10

    sci_Zone and John Hopkins University are proposing QuickSAT/SHERLOCK-MD, a system for Vehicle Health Management and Fault Detection with Fault Classification Functions. QuickSAT, a flight proven environment, is the framework containing the SHERLOCK-MD architecture providing edge-capable AI, sensing suite integration and vehicle tracking functions that are tied with the vehicle fault management sys ...

    STTR Phase I 2022 National Aeronautics and Space Administration
  8. Rad-Hard Adaptive Dual-Mode Event-Based Vision and Perception for Autonomous Robot Operations

    SBC: ALPHACORE INC            Topic: T4

    In response to NASA STTR topic T4.01, Information Technologies for Intelligent and Adaptive Space Robotics, Alphacore Inc. in partnership with the Arizona State University (ASU) School of Earth and Space Exploration will develop a low-SWaP-C, high-performance, extreme perception and vision system for autonomous robot operations. Our novel radiation-hard adaptive dual-mode neuromorphic (event-based ...

    STTR Phase I 2022 National Aeronautics and Space Administration
  9. Spacesuit Cover against the Abrasive Lunar Environment (SCALE) & eXploration Textile for high Oxygen eNvironments (xTON)

    SBC: PARAGON SPACE DEVELOPMENT CORPORATION            Topic: T6

    NASA has entered a new era of human space exploration with the Artemis Program, hoping to establish a long-term presence on the Moon. In order to meet the needs of that program, new textiles will have to be developed to keep astronauts safe, while still enabling them to perform at their best. In the solicitation, NASA has identified two specific areas for textile innovation: (Part A) the Explorati ...

    STTR Phase I 2022 National Aeronautics and Space Administration
  10. Machine-Learning (ML) Enabled Reliable Multi-Modal Sensor Operation for Rocket Propulsion Systems

    SBC: ALPHACORE INC            Topic: T13

    Alphacore and its Research Partner, Arizona State University, will develop a framework for self-calibrating sensors, backed by artificial intelligence with in-field calibration capabilities. In Phase I we will prove the feasibility of our approach by modeling MEMS and electronics-based pressure, temperature, strain, and acoustics sensors, designing electrical tests to correlate with physical chara ...

    STTR Phase I 2022 National Aeronautics and Space Administration
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