Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials with Andrew Ma (MIT)

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials

A fundamental question in the field of topological materials is why some materials are
topological while others are not. In this talk, I will discuss our work on a machine-learned
heuristic rule that diagnoses whether a material is topological using only its chemical formula.
Our approach enables chemical insights into electronic band topology via a notion that we term
topogivity, which is a numerical value for each chemical element that loosely captures its
tendency to form topological materials. By implementing a high-throughput procedure based on
heuristic rule prediction followed by ab initio validation, we discover new topological materials
that would have been difficult to find using existing methods.

Informal seminar series on latest quantum theory development by up and coming researchers.

https://arxiv.org/abs/2202.05255