Broadening Participation in Electronic Materials Research Through Knowledge and Data Exchange
(upper) Resistivity data portal hosted on data.world as part of the MIST website (inset corresponds to project logo). (lower) Lecture slide from Rondinelli for a new course, which brings research from this project into the classroom by focusing on the role of structural-symmetry breaking in MITs.
Enhancing Access to Data. In collaboration with DMR-1729489, we are working to deliver an open data/software ecosystem by disseminating broadly research data through the Metals and Insulators through Structural Tuning (MIST) website hosted on data.world (https://data.world/dmref-mist). Both open and private repositories of data and code are accessible to team members and general community users. The ecosystem currently includes:
- •>50 different features for machine learning
- •>100 MIT compounds for model training
- •>100 temperature-dependent transport data (contributed by many)
Bringing Advances into the Classroom. Rondinelli developed a new graduate course titled “Displacive and Nonmetal-to-Metal Transitions,” which leverages use-cases from the DMREF project and course material developed from Seshadri (DMR-1729489) on structure-driven MITs.
