Award Data

In this project, aBeam will further develop and commercialize the metrology application developed by scientists at Lawrence Berkeley National Laboratory and supported by their patent. The product will improve the capabilities of high-performance metrological instrumentation. Our technology is the enabler of well characterized quantitative metrology at the nanoscale that does not exist thus far.

It is critical to have a validated modeling tool for fluid bed-based chemical looping combustion to develop scaled-up designs of equipment to reduce greenhouse gas emissions from coal and biomass fuels in power generation. The proposed work aims to develop such a modeling tool for widespread use in research and industry.

The advanced energy economy will be a dominant market force in the 21st century, one driven by US demand but asymmetrically low domestic supply without immediate action. This project focuses on the development and US manufacturing of a new battery membrane that enables low-cost and long-lived Li-ion batteries.

Next generation reactor R&D aims to produce safer, longer lasting and economically viable nuclear power plants. New designs rely on novel materials that are resistant to both corrosive environments and radiation damage. Testing these novel materials requires an intense fast neutron environment, commonly created with a nuclear reactor or a national laboratory scale accelerator such as the proposed ...

Near-field scanning optical microscopy (NSOM) is a powerful and unique approach to characterize the chemical, physical and potentially biochemical properties of materials with the nanometer scale resolution in real-time. A key element for NSOM systems that combine optical spectroscopy with scanning probe microscopy, is the actual probe itself. While many commercial vendors offer off-the-shelf meta ...

A recent report by the Basic Energy Sciences Advisory Committee entitled “Challenges at the Frontiers of Matter and Energy” pointed to the need to better understand hierarchical and heterogeneous materials, often at the mesoscopic scale. Such structures can be studied by x-ray and neutron scattering techniques, but they do not generally yield narrow signals in momentum or energy space. The nat ...

Anasys Instruments in collaboration with Markus Raschke (University of Colorado, Boulder) propose to jointly develop a new ultrafast infrared and optical scanning probe nano-scope, based on scattering scanning near-field optical microscopy (s-SNOM), that provides both spatio-spectral and spatio-temporal nano-imaging. Nanoscale heterogeneity defines properties and performance in many functional mat ...

In situ detection of microbial activity in submerged soils and aquatic sediments can be labor intensive and technically difficult, especially in dynamic environments where data on microbial status is desired. Current approaches for estimating anaerobic microbial activity involve incubating soil/sediment samples. Sophisticated analytical techniques are currently used which are not convenient and so ...

Neutron-sensitive microchannel Plates (MCPs) are now providing state-of-the-art user-based, high spatial resolution neutron imaging systems at several US government neutron research facilities as well as university research reactors. Using enriched 10B, thermalized neutron detection efficiencies exceeding 50% have been demonstrated, and cold neutron detection efficiencies of up to 70% have been do ...

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 ...