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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Displaying 1 - 10 of 3474 results
  1. Electro-swing adsorption for high efficiency direct air capture

    SBC: Verdox, Inc.            Topic: G

    There is a clear scientific consensus on the role of anthropogenic greenhouse gas emissions in the unusually wild fluctuations of global climate patterns over the last century. To that end there has been an exponential growth of investments in “clean tech”, and mainly in direct air capture (DAC). Verdox, Inc. aims to introduce a radically novel technology to the field which presents a paradigm ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  2. Electro-swing adsorption for high efficiency direct air capture

    SBC: Verdox, Inc.            Topic: G

    There is a clear scientific consensus on the role of anthropogenic greenhouse gas emissions in the unusually wild fluctuations of global climate patterns over the last century. To that end there has been an exponential growth of investments in “clean tech”, and mainly in direct air capture (DAC). Verdox, Inc. aims to introduce a radically novel technology to the field which presents a paradigm ...

    SBIR Phase II 2020 Department of EnergyARPA-E
  3. Transformation of carbon emissions to high-value products through a two-step electrochemical platform

    SBC: LECTROLYST LLC            Topic: G

    Carbon dioxide utilization can help reduce carbon emissions, but gaps remain in the value chain from initial capture to high-value products. Lectrolyst LLC will develop an electrochemical platform centered on selective two-step conversion of CO2 to acetic acid and ethylene, to fill this need. Preliminary life cycle assessment and techno-economic analyses indicate ~200 million metric tons of CO2 em ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  4. Transformation of carbon emissions to high-value products through a two-step electrochemical platform

    SBC: LECTROLYST LLC            Topic: G

    Carbon dioxide utilization can help reduce carbon emissions, but gaps remain in the value chain from initial capture to high-value products. Lectrolyst LLC will develop an electrochemical platform centered on selective two-step conversion of CO2 to acetic acid and ethylene, to fill this need. Preliminary life cycle assessment and techno-economic analyses indicate ~200 million metric tons of CO2 em ...

    SBIR Phase II 2020 Department of EnergyARPA-E
  5. Enabling Technology- Reducing Greenhouse Gas Emissions and Energy Demands in the Meat Production Industry via Scaling Advanced 3D Culture Bioreactors

    SBC: cambridge crops, Inc.            Topic: G

    Food production, and in particular animal-derived meat products, are a major source of green-house gases, compounded by the remarkable inefficiency in biomass conversion (grain to dense muscle tissue in meat), along with growing challenges with food safety, quality and nutrition. To address this growing problem, we propose to exploit the emerging field of cellular agriculture (tissue engineering o ...

    STTR Phase I 2020 Department of EnergyARPA-E
  6. Enabling Technology- Reducing Greenhouse Gas Emissions and Energy Demands in the Meat Production Industry via Scaling Advanced 3D Culture Bioreactors

    SBC: cambridge crops, Inc.            Topic: G

    Food production, and in particular animal-derived meat products, are a major source of green-house gases, compounded by the remarkable inefficiency in biomass conversion (grain to dense muscle tissue in meat), along with growing challenges with food safety, quality and nutrition. To address this growing problem, we propose to exploit the emerging field of cellular agriculture (tissue engineering o ...

    STTR Phase II 2020 Department of EnergyARPA-E
  7. 8-Predictive Analytics for Normalcy Reasoning and Anomaly Analysis (8-PANORAMA)

    SBC: Boston Fusion Corp.            Topic: N193A01

    Predictive Analytics for NOrmalcy Reasoning and AnoMaly Analysis (PANORAMA) is a machine learning (ML) tool for automatic identification system (AIS) data that learns maritime patterns of life and detects anomalous vessel behavior. PANORAMA learns what is normal for a given ship, taking into account: (1) that ship’s past behavior, (2) the past behavior of similar ships, (3) normalcy patterns in ...

    SBIR Phase I 2020 Department of DefenseNavy
  8. 5- Validation of Artificial Intelligence Technologies (VAIT)

    SBC: R-DEX Systems, Inc            Topic: N193A01

    As artificial intelligence (AI) becomes more ubiquitous in society and the DoD enterprise, trust in the results provided by AI is of paramount importance. To that end, R-DEX Systems introduces VAIT (Validation of Artificial Intelligence Technologies), a processing suite for assessing AI algorithms for validation, trust in the decision-making process, and robustness against adversarial attack. VAIT ...

    SBIR Phase I 2020 Department of DefenseNavy
  9. Focus Area 8- (SPADE) Spatial Anomaly Detection

    SBC: Aptima, Inc.            Topic: N193A01

    Coastal and marine navigation, as well as doing so safely, requires the correct identification of vessel type and prediction of behaviors. While the development of Automatic Identification System (AIS) has eased the burden of vessel localization and identification, errors still occur due to improperly configured messages, whether done innocently or maliciously.In order to increase the safety of ou ...

    SBIR Phase I 2020 Department of DefenseNavy
  10. (1) LAV25 LOGISTICS OPTIMIZATION USING MACHINE LEARNING

    SBC: TAGUP INC            Topic: N193A01

    Current USMC logistics information systems do not possess the predictive modeling and simulation tools required to support strategic mission critical MAGTF planning efforts. Standard maintenance and supply information (service requests, spare parts requisitions, NIIN inventories, fleet readiness metrics, etc.) is readily available in an ERP system and is visualized via custom-built asset health/fl ...

    SBIR Phase I 2020 Department of DefenseNavy
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