Award Data

Quantum information sciences started as a concept many years ago, transitioned to a subject of theoretical analysis, followed by experimental efforts mainly focused on controlling individual qubits Rather dramatically, the last couple of years have witnessed a significant milestone with the creation of nascent functioning quantum computers operating with tens of qubits Present quantum computers, r ...

Large size diffraction-grade diamond is needed for high scientific impact applications at synchrotron and Free-Electron Laser (FEL) X-ray sources, stemming from diamond’s unique physical properties in low atomic number and extremely high thermal diffusivity Sufficiently large diffraction-grade diamond crystals, similar in crystalline quality to that of silicon, are required for the fabrication o ...

The spatiotemporal quantification of coupled hydro-biogeochemical processes between soil, plant, and atmosphere requires advances in remote sensing technologies and in understanding the link between the measured signals (ie spectral traits) and the hydro-biochemical properties While current UAV-based remote sensing technologies provide spectral reflectance in the visible- short wave infrared (VSWI ...

The quantification of in situ fine root phenotypes is an important task in the comprehensive study of natural and agricultural environments and critical to under- standing how plants respond to various changes in those environments, especially as those changes relate to energy and environmental challenges Mini-rhizotron experiments enable nondestructive imaging of in situ root systems, but their a ...

Solar fuels production is necessary for the future of the global economy New highly conductive and stable polymer-electrolytes with low light absorption are required for efficient and cost- effective solar fuels generation Opus 12 will work with Prof Chulsung Bae at Rensselaer Polytechnic Institute (RPI) to further develop the existing polymer-electrolyte chemistry to meet the demands of this chal ...

In spite of the promise of terahertz frequency range, the maturity of terahertz technologies, such as sources or detectors, remains relatively weak In particular, ultrafast optoelectronic switches are a key component to both sources and detectors, but current versions of them require too much power to be commercially viable, particularly for applications involving detector arrays The overall objec ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

Ammonia is a critical component of the US economy as US agricultural exports exceeded $100BB in 2015 and depend heavily on ammonia fertilizers. Ammonia production consumes 1% of the world’s total energy supply and millions of tons are imported each year. An innovative bioelectrocatalyzed process is being developed using immobilized mutated nitrogenase enzymes to directly convert atmospheric ni ...

This Small Business Technology Transfer (STTR) program aims at development and demonstration of an integrated theoretically/experimentally combinatorial method for the accurate prediction of rheological behaviors of special polymer solutions. In-depth understandings of dynamic responses of the polymer solutions under external shear are essential for development of the “smart” polymer-based add ...