by | Oct 22, 2019 | Mutic, Sasa, Zhao, Tianyu
— Background: High precision and accuracy is critically needed for the use of radiation treatment and diagnostic imaging (magnetic resonance imaging, computerized tomography, X-ray, positron emission tomography); each of these modalities uses the standard flat couch to manipulate the patient during pr…
by | Oct 22, 2019 | Parrondo, Javier, Ramani, Vijay, Wang, Zhongyang
— Background: Anion exchange membranes (AEMs) are used as separators in redox flow batteries, water electrolyzers, water desalination systems, fuel cells, and other electrochemical devices. Current AEMs suffer from issues with cost, poor stability and low perm selectivity. For example, current redox flow batteries are not economical or suffer from capacity loss upon cycling due to cross species contamination while using less expensive decoupled chemistries.
An advanced, tunable AEM has been developed with dramatically reduced cost and improved performance relative to industry leading AEMs. High ionic conductivity, chemical stability and enhanced mechanical performance have been shown. The technology includes tunable membrane compositions, mechanical re…
by | Jan 23, 2019 | Hayes, Sophia, Mui, Stacy, Ramaswamy, Kannan
— Background: The idea of creating clean, sustainable power in high amounts from renewable energy sources is an interest among many across the globe. One of the many ways of creating renewable energy is applying the photovoltaic effect, the conversion of solar to electrical energy, by using semiconduc…
by | Dec 10, 2018 | Cupps, Brian, Kar, Julia, Pasque, Michael
— Background: Assessing left ventricle (LV) cardiac contractile function is a good indicator of overall heart health and is used to determine which patients are good candidates for revascularization surgery. With over 3 million new coronary artery disease patients annually and over 1 million annual re…
by | Mar 30, 2018 | Barbour, Dennis, Gardner, Jacob, Ledbetter, Noah, Song, Xinyu, Weinberger, Kilian
— Technology Description: The current audiogram takes 20 minutes per employee per test. The Gaussian Process Audiogram is an improved system for conducting audiograms that would cut the test time in half while avoiding ‘false fails’. This is a machine learning approach to improve speed and…