Ali Javey (Advisor)

Black Phosphorus (bP) is a highly promising host material for future optoelectronic devices operating in the mid-wavelength infra-red (MWIR) regime of 3-5 um. bP is the most stable allotrope of phosphorous with a bulk direct bandgap of 0.3 eV that is highly tunable by alloying, applying strain, and varying the thickness, and with many remarkable electronic and optical properties ranging from low surface recombination velocity to high carrier mobility. Both MWIR LEDs and photodetectors based on mechanically exfoliated bP flakes operating at room temperature have shown superior...

Spectroscopy-based semiconductor metrology is crucial for process development and quality control in IC manufacturing. The current metrology technologies process raw spectral data with software postprocessing, causing additional latency, power consumption, and computer memory budget. This project exploits the machine learning algorithms to train novel intelligent sensors that can both detect and compute, instantaneously giving the desired, ultimate analysis results such as thin film material and thickness.

Project is currently funded by: Federal

Sweat rate can provide the precautious signal of hyperhidrosis, hypohidrosis, and autonomic dysfunction. Currently, microfluidic and hygrometer-based sweat rate sensors are two types of available real-time sweat rate sensors. However, microfluidic device has issues of low temporal resolution, limited volume capacity, and surrounding artifact dependencies, while hygrometer-based devices also has overfilling and environmental artifact issues. In this work, we present reusable sweat rate sensor for continuous monitoring of sweat rate with novel sensor design.

Project...