Kevin Coutinho

Mechanical engineering

Hometown: Tempe, Arizona, United States

Graduation date: Spring 2023

Energy icon, disabled. An orange lightning bolt.

MORE | Spring 2023

Thermoelectric Material Discovery Using Machine Learning

The conventional approach of discovering thermoelectric materials from an essentially infinite universe of chemical compounds includes costly and time-consuming studies. In the current study, thermoelectric properties (labels) and descriptors (features) of a group of substances are calculated using density functional theory (DFT) simulations. With the knowledge that machine learning (ML) can extract the key characteristics from the small database and we attempt to use them to predict the behavior of any new compound.

Mentor:

QR code for the current page

It’s hip to be square.

Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future. 

Right click the image to save it to your computer.