The world has seen an enormous increase in computing power, but the current path forward for the semiconductor industry is beset with roadblocks. A different strategy for a future generation of electronic devices is based on materials which exist in multiple electronic states. In other words, they undergo metal-to-insulator transitions. The project aims to design and discover materials exhibiting such transitions. These materials may exhibit the necessary large electrical resistivity changes for low-power microelectronics. The strategy is to control properties by structural design at the atomic scale and employ a tightly integrated combination of experiment, theory, and data-mining of the literature.

Additional Resources

The team has also developed an MIT Classification Model deployed through Binder, an easy-to-use online pipeline that can enable quick probabilistic of any crystalline material.

In addition, the team has developed a Github Repository for Classifier Code.