Award Data

Transformers are critical for the power grid distributions via stepping up down the voltage. The key cause of failure in majority of transformers is the insulation problem related to the kraft paper. The objective of this project is to integrate a collection of advanced surface chemistry, kraft paper fabrication, and rapid property screening, followed by standard testings and pilot demonstration t ...

The 21st century is the Age of the Network. Operators and clients of critical infrastructure networks are now vulnerable to cascading failures that they could not have seen coming. “Cascading” failure events remain a vital unsolved challenge as critical infrastructure network operators and regulators struggle to define and operationalize resilience, and measurement of interdependent network re ...

The primary objective of this project is to improve awareness, safety and enjoyment for mariners in coastal and inland waters by the creation of a participatory sensor network (PSN) that facilitates sharing of marine observations with other mariners. We are adding a new degree of temporal fidelity to nautical charts and maps. The approach leverages volunteered geographic information to augment con ...

Harmful algal blooms (HABs) represent a significant problem for the Blue Economy, adversely affecting drinking water, commercial fisheries, water recreation, and tourism. Early detection of HABs is crucial in mitigating their effects. We propose to continue our development of HABSSED (Harmful Algal Bloom Surveillance by Sequencing of Environmental DNA) into the prototyping phase. The HABSSED pipel ...

The machine learning for counterfeit detection research program continues the successful Phase 1 feasibility study of applying machine learning to detect FPGA counterfeits. In Phase 1, Graf Research demonstrated the feasibility of implementing a machine learning based counterfeit detection platform for a single FPGA device and representing data characteristic of repackaged counterfeit devices.  T ...

This project develops a potentially faster and cheaper approach to fusion energy that would result in reduced energy emissions. In plasma jet driven magneto-inertial fusion (PJMIF), an array of discrete supersonic plasma jets is used to form a spherically imploding plasma liner, which then compresses a magnetized plasma target to fusion conditions. With funding from ARPA-E’s ALPHA program and fr ...

This SBIR Phase II project proposes to integrate an easy to use, inexpensive, and portable bacterial concentrator with a handheld pathogen detection system to enable ultra-low cholera pathogen (Vibrio cholerae) detection. Cholera affects communities across 41 countries, including in Yemen, where in the first 5 months of 2020 has had 110,000 suspected cases. Current methods used to detect the chole ...

Luna Innovations (Luna) is developing FlueCO2, a process that enables traditional power generators to respond to increased variable renewable energy (e.g. wind and solar) while reducing greenhouse gas emissions. FlueCO2 is a combined membrane and gas compression technology that integrates into existing natural gas power plants and actively removes CO2 from the exhaust gas. The membrane separates C ...

Copia is a a fit-for-purpose sand-to-system supply chain blockchain optimized for DMEA’s FPGA Manufacturing ecosystem to enable Trusted and Assured Copia is a a fit-for-purpose sand-to-system supply chain blockchain optimized for DMEA’s FPGA Manufacturing ecosystem to enable Trusted and Assured Microelectronics requirements across DOD.

NOAA is pursuing sustained, in-situ sensing technology to support improved atmospheric modeling of the upper ocean boundary environment, including the air-sea interface, during turbulent storms. Improved atmospheric modeling in this critical region will lead to better forecasting and support NOAA's mandate to protect property and save lives. Small, unmanned aircraft, equipped with atmospheric sens ...