Award Data

We propose to develop a prototype of a novel spintronic spectrum analyzer using an array of nano-scale magnetic spin-torque detectors. The operation of the proposed spectrum analyzer is based on the recently discovered effects of spin-transfer torque and spin-diode effects in nano-scale magnetic multilayered elements, the fabrication of which became possible due to the recent advances in nano-fabr ...

Bulk InAs(x)Sb(1-x) is an infrared detector material that promises higher quantum efficiency than antimony-based superlattices in the longwave infrared (LWIR). This is due to the longer diffusion length of minority carrier holes in the bulk than in superlattices where they are localized. No native substrate exists for lattice-matched growth of InAs(x)Sb(1-x) material with LWIR bandgaps. So a key c ...

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 NMR relaxometry instrument developed in Phase I project will be refined and thoroughly calibrated for nondestructive evaluation of the structure and properties of polymer-inorganic interfaces. The system design, operation conditions and data acquisition/analysis algorithms will be improved for precise and reliable evaluation of the structure and properties of the interfaces formed between dive ...

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 ...