Award Data

"To enable the future needs of efficient computing for edge data centers, Flexnode and its partners, the University of Maryland (UMD), Boeing, Iceotope, SHoP Architects, and Arup, propose to develop a prefabricated modular micro data center with unprecedented energy efficiency and power density. The proposed system leverages four key component and system-level technology advancements: (a) a novel, ...

"To enable the future needs of efficient computing for edge data centers, Flexnode and its partners, the University of Maryland (UMD), Boeing, Iceotope, SHoP Architects, and Arup, propose to develop a prefabricated modular micro data center with unprecedented energy efficiency and power density. The proposed system leverages four key component and system-level technology advancements: (a) a novel, ...

"To enable the future needs of efficient computing for edge data centers, Flexnode and its partners, the University of Maryland (UMD), Boeing, Iceotope, SHoP Architects, and Arup, propose to develop a prefabricated modular micro data center with unprecedented energy efficiency and power density. The proposed system leverages four key component and system-level technology advancements: (a) a novel, ...

Broadband Push-to-Talk (PTT) services are offered by a diverse group of vendors and are being used on multiple cellular carriers in the US and internationally. These PTT services provide important communications tools for the first responder community during public safety incidents and events. U.S. State, Local, Tribal, and Territorial (SLTT) governments are using different PTT services which can ...

Our team has conducted a Phase 1 feasibility analysis of developing an Artificial Intelligence (AI) platform to augment and integrate into currently available biological aerosolized detectors in support of DHS and its BioWatchProgram.The BioWatch program was stood up in the Department of Homeland Security (DHS) in 2003.The program currently operates in more than 30 metropolitan jurisdictions and p ...

This SBIR Phase II project proposes development of deep learning-based algorithms and software system that can identify biological and chemical threats at both functional and structural level from portal-based spectral measurements with high specificity and sensitivity. The proposed solution leverages recent advancements in the areas of chemical fingerprinting, latent representation learning, chem ...

Nuclear power is a key component to the portfolio of technologies necessary to quickly deploy clean, affordable, domestic energy sources in the United States, to meet our energy security and environmental goals. Advanced Manufacturing specifically powder metallurgy-Hot Isostatic pressing is a mature technology that can be readily deployed to produce high temperature material components for nuclear ...

Air quality data from top-of-the-line platforms, such as satellites, are difficult to obtain without a high- level of technical knowledge. For this reason, local air quality patterns and trends are often inaccessible to disadvantaged communities (DACs). Many technologies that will be used for deep decarbonization of industrial and power facilities have the added co-benefit of reducing non-CO2 poll ...

C53-22c-271119Meeting climate-stabilizing energy transition goals requires using hybrid-energy CO2 capture systems like Direct Air Capture (DAC) to remove billions of tonnes of CO2 from the atmosphere. Deploying this capacity will be difficult because it is complex and energy intensive infrastructure, and there must also be buy- in from communities living in locations best suited for it. The chall ...

C53-06a-271155Harnessing the quantum state of nature holds tremendous potential for creating new quantum technologies that surpass the capabilities of current systems. To create these new technologies, precise control over the quantum state must be maintained while simultaneously suppressing noise processes that would otherwise lead to decoherence and inaccurate results. This project will address ...