Award Data

The goal of the research is to provide pixelated diamond x-ray detectors with the required readout electronics for transmission imaging of hard and soft x-ray beams to facilitate the use of dynamic focusing at advanced light source facilities. This program investigates the use of diamond detectors and the associated readout electronics for x-ray imaging. The present technology, developed by Stony ...

To advance a strong and economical biofuels and bioproducts industry, tools are needed for breeding microalgae to improve phenotypes of commercial interest, including biomass yield, culture stability, harvestability, and accumulation of valuable compounds. This project aims to increase biomass feedstock yields by the phototrophic green alga Scenedesmus obliquus by using classical breeding approach ...

In recent decades, High Performance Computing (HPC) has risen as one of the key enablers of innovation in science and engineering. However, industrial adoption has been impeded by the complexity and cost of deploying applications. Problems include the quality, speed, and flexibility of software tools and the specialized expertise required to adapt solutions given the profusion of hardware config ...

Biodiesel is a clean-burning, renewable fuel produced from domestic agricultural sources (such as vegetable oils and animal fats) that can be blended with petroleum diesel and used by most compression-ignition (diesel) engines with few or no modifications. However, the availability of suitable agricultural fats and oils for biodiesel feedstock is limited, and is not expected to increase apace wit ...

This project will develop a novel type of thermal neutron counting detector, which will be optimized for the imaging of thermal neutrons with high detection efficiency (greater than 50 percent), spatial resolution (approximately 55 microns), and time resolution (approximately 1 millisecond) for each detected neutron. The counting rate of detector can be as high as 100 MHz with an active area scal ...

Statistical machine learning has had substantial impacts on many business areas, including finance, supply chain management, cyber security, bioengineering, and elsewhere – it is the core of companies including Google, FaceBook, TrueCar, and many others. However, extant tools for predictive analytics provide little or no insight into underlying processes. Hence, while machine learning has inargu ...

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 ...

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 ...

Recent advances in computing systems fundamentally changed and shaped almost every aspect of today’s society; from healthcare to finances and scientific discoveries, our everyday lives will depend more and more on computing and communication infrastructures and their capability to process and deliver critical information in real time. However, as high-performance-computing systems and datacenter ...

Distributed, collaborative visualization and control of real-time fusion experiments and simulations is of growing importance, because the next major facilities will be internationally located and operated. Currently, collaborative visualization tools for tiled displays in control rooms have substantial overhead and are not satisfactory for tracking dynamic displays. This project will build on m ...