Award Data

Numerous machine learning frameworks exist, each with highly variable support for accelerated computing (e.g. Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), etc). A library of machine learning primitives could support the many disparate frameworks and boost the advancement of machine learning research and programs, such as those underway in the DARPA Data-Driven Discover ...

To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logistical system requires natural gas gathering lines, processing facilities, product storage tanks and lots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermit ...

NAI has a strategy to identify plant species best suited for proof-of-concept testing for phytoremediation of perfluoroalkyl substances (PFAS) via phytoextraction. Phytoextraction refers to the uptake and translocation of contaminants in the soil by plant roots into the aboveground portions of plants. Once the phytoextraction concepts are proven at the bench-scale (Phase I) and followed with succe ...

Need: People are exposed to formaldehyde, a carcinogen found in building materials. Highly sensitive, real-time formaldehyde sensors would improve human safety by alerting users to harmful concentrations. _x000D_ _x000D_ Technical Feasibility: Vaporsens produces chemical sensors based on novel organic nanofiber technology. Phase 1 results demonstrated high selectivity, rapid-response time, and dem ...

Scalable, inexpensive manufacturing processes that produce yarns capable of storing energy are required for new breakthroughs within the wearable electronics sector. To enable to further improve the properties of yarn-based electrochemical performance in energy-storage systems, fiber-based yarns are proposed and developed via a scalable and cost effective wet spinning manufacturing process, and la ...

The strain engineering effort will constitute development of a synthetic biology toolkit applicable for food waste conversion in clostridium. The engineered strain will enable high efficiency conversion of army food waste to fuel. The proposed project will scale up a clostridium based fermentation method to produce fuel from food waste. A batch reactor will be optimized. Overall techno-economic fe ...

The objective of this effort is to continue the development of a dual-color MWIR display suitable for use in IR scene projection using a combination of quantum dot (QD) technology and commercial LCD displays. More efficient MWIR emitting core/shell QDs will be developed and fine-tuned during Phase II. The MWIR QDs will be deposited and patterned on a substrate to form 2-color subpixel arrays and t ...

We propose to continue our project generating transgenic insect with improved nutrition for humans and livestock, building on the milestones we have reached and will continue to develop in phase I. We have already demonstrated insertion of exogenous reporter DNA into the insect, and continue to develop genetic engineering tools and techniques. We have expressed the biosynthetic pathway of interest ...

To reduce size, weight, power and cost (SWaP-c), military platforms have been evolving towards more integrated platforms that utilize all available space. For radiating systems, this will require exploring innovative design methods, materials and manufacturing approaches to realize cost-effective, customizable and conformal antennas. An attractive solution to this challenge is offered by additive ...

This project aims to develop a low-cost millimeter-wave (mmW) imaging system for ground vehicles, to operate in combination with a long-wave infrared (LWIR) camera. Such a system will mitigate the challenges of driving in degraded visual environments (DVE) including night time, fog, dust, or smoke by providing real-time image of the vehicle surrounding independent from the presence of naturally oc ...