Award Data

Currently the chemical composition of atmospheric particulate matter is measured either by off-line analyses of time-integrated filter samples, or by in-situ instruments requiring near-constant operator oversight. These measurement approaches result in sparse or limited data coverage. Despite the critical role of composition on the health and environmental impacts of particulate matter, there exis ...

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 ...

The development of radiation detection materials would benefit with greater access to computational models that relate physical traits seen in manufacture with complex energy transitions occurring in the material that control operating performance. However, the HPC requirements behind these models remain beyond the reach of most businesses involved in this small yet vital field impacting National ...

The power output of the high power lasers used in physics research is limited by the materials available for making the gain media in the laser. Future increases in power will require new and better materials. Operation at high power creates great thermal stresses that can lead to effects such as birefringence, thermal lensing or even physical fracture damage to the host itself. Effective cooling ...

Improved hydrogen separation membranes are needed for next generation power systems. Recent advances in metal membrane technology have identified a Pd alloy composite membrane that is not susceptible to embrittlement and poisoning problems, which have prevented widespread industrial use of Pd for high-temperature H2 separation. However, there is still a need to prepare thin membranes on porous ...