Cornell University

This is a past event. Its details are archived for historical purposes.

The contact information may no longer be valid.

Please visit our current events listings to look for similar events by title, location, or venue.

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

Friday, April 29, 2022 at 3:00pm

Virtual Event

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

 

 

 

 

Streaming site:

https://cornell.zoom.us/j/96116630382?pwd=WkhDQjVRaTBTaXBxVk0ya0FnZjNLQT09

Subscribe
Google Calendar iCal Outlook
Event Type

Seminar

Departments

LASSP

University Themes

Research

Tags

physics, lassp, quantum_site, quantum_theory

Speaker

Andrew Ma

Speaker Affiliation

MIT

Recent Activity