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.

Displaying 196151 - 196160 of 205043 results
  1. A Fluidized Bed Photocatalytic Reactor for Nitrate Conversion

    SBC: PANI CLEAN INC            Topic: 84

    Project SummaryOpportunity: Nitrate is currently the most prevalent groundwater pollutant in Northern Americaprimarily from agricultural activities and changing nitrogen input to the land surface. In the USover 7 million Americans drink water from community water systems (CWS) that contain nitrate- (NO ) at concentrations exceeding the maximum contaminant level (MCL). The go-to3 technologies for n ...

    SBIR Phase I 2022 Department of Agriculture
  2. 20a_Ultrafast Heaters for Neutron Scattering

    SBC: HIGHT-TECH, INC            Topic: C5317a

    DOE’s high flux sources enable faster data collection than before, but the existing furnaces and cryostats used for heating and cooling the samples significantly prohibit the efficient utilization of the valuable neutron beam time for experiments. An advancement in the technology and design of neutron scattering compatible cryostats and furnaces that can speed up the cooling and heating is neede ...

    SBIR Phase I 2022 Department of Energy
  3. Deep Learning Enabled FAIR Data Management for Center for Functional Nanomaterials

    SBC: SUNRISE TECHNOLOGY INC            Topic: C5315a

    Modern materials science experiments are pushing towards several frontiers: 1) faster data collection rates, for example the Center for Functional Nanomaterials (CFN) and National Synchrotron Light Source II (NSLS-II) at BNL alone generates data in the range of 500TB/week, 2) larger arrays of detectors with higher pixel counts, 3) multi-modal measurement of elemental, structural, chemical, and phy ...

    SBIR Phase I 2022 Department of Energy
  4. 16a. Low Cost, Large Area Solution Processed Perovskite Films for High Performance X-ray Imaging

    SBC: PEROTECH, INC.            Topic: C5316a

    X-ray detection and imaging are broadly applied for non-invasive medical diagnostics, security, industry material inspection and scientific research. X-ray passes through the human body forming an image revealing tissues or organs inside of the human body due to their different X-ray attenuation abilities. To achieve fast and safe X-ray diagnostics, a low-cost, sensitive X-ray imager is highly dem ...

    SBIR Phase I 2022 Department of Energy
  5. 30a An Innovative Technology for Cost-effective Enzymatic Lignocellulose Deconstruction using In-planta Enzyme Engineering

    SBC: QUASAR ENERGY GROUP LLC            Topic: C5330a

    The Department of Energy is interested in technologies that support the sustainable production of fuels, chemicals, and other bioproducts from plant biomass, to offset the nation’s reliance on fossil resources. The plant cell wall of energy crops provides the largest reservoir of raw materials for bioproducts. However, the widespread use of plant cell walls is hampered by their complexity and re ...

    SBIR Phase I 2022 Department of Energy
  6. An Integrated Software Package for Studying Structure-Property-Processing Relationships in Material Systems / Topic 14A

    SBC: SENTIENT SCIENCE CORPORATION            Topic: C5314a

    The identification of structure-property-processing relationships require dynamical models that can access multitude of length spanning nanometers to microns and timescales spanning picoseconds to seconds. Despite its widespread availability of a variety of open source and commercial codes as well as their usage in various flavors, the predictive power of molecular dynamics (MD) is severely limite ...

    SBIR Phase I 2022 Department of Energy
  7. 22b Low-Cost High Performance Regenerative Fuel Cells (RFCs) for Fossil-Integrated Hydrogen Energy Storage

    SBC: GAIA ENERGY RESEARCH INSTITUTE LLC            Topic: C5322b

    The intermittency of solar photovoltaic and wind-based power plants places a significant burden on natural gas power plants, requiring that they ramp up and down quickly to compensate for unexpected changes in renewable electricity supply. Natural gas plants operate most efficiently with the lowest emissions per unit power at their peak output, not while operating at part power or while ramping up ...

    SBIR Phase I 2022 Department of Energy
  8. Kokkos Tensor Library

    SBC: RNET Technologies, Inc., Dayton, OH            Topic: C5302a

    Tensors are fundamental building blocks in a wide range of high-performance computer applications including Artificial Intelligence (e.g., Deep Neural Networks) and Numerical Model and Simulation (e.g., Finite Element codes). High Performance Computer platforms are increasingly heterogeneous, with upcoming exascale platforms using heterogeneous processors (e.g., Intel Sapphire Rapids, Nvidia Grace ...

    SBIR Phase I 2022 Department of Energy
  9. Advanced Manufacturing and Smoothing of X-Ray Mirrors

    SBC: OPTIMAX SYSTEMS, INC.            Topic: C5307a

    Current domestic end-to-end production of diffraction-limited, curved, long x-ray mirrors cannot meet the required specifications due to manufacturing-induced high- and mid- spatial-frequency errors. This proposal aims to address manufacturing shortfalls and utilize state-of-the-art metrology to mature the manufacture of precision x-ray mirrors within the United States. Through comprehensive atten ...

    SBIR Phase I 2022 Department of Energy
  10. Physics-informed AI/ML of geochemical datasets for characterization, parameterization, and prediction of contaminant transport and remediation processes

    SBC: ENVITRACE LLC            Topic: C5301a

    Geochemical processes involve complex interactions between fluid and solid constituents critical for understanding contaminant fate, transport, and remediation. The development of reactive geochemical transport (RGT) models predicting these processes from first principles is challenging and typically requires extensive model calibration against observed site data. In addition, existing numerical R ...

    SBIR Phase I 2022 Department of Energy
US Flag An Official Website of the United States Government