Condensed Matter Seminar: Strongly correlated insulators: from topological insulators to dark matter detection by Dr. Priscila F. S. Rosa of Los Alamos National Laboratory

When:
October 18, 2021 @ 3:00 pm – 4:00 pm
2021-10-18T15:00:00-04:00
2021-10-18T16:00:00-04:00

 

Speaker: Dr. Priscila F. S. Rosa of Los Alamos National Laboratory

Abstract

In this talk, I will present an overview of various emergent phenomena in strongly correlated insulators. From the materials design perspective, there are three overarching principles to create an insulating state: electron count/Zintl concept, electronic instabilities, and interaction-driven gaps. I will present new insights into these three categories by looking at recent experiments in colossal magnetoresistance Eu5In2Sb6, charge density wave La3Cd2As6, and topological Kondo insulator candidate SmB6, respectively. I will highlight some of the obstacles to understanding these materials and the most pressing outstanding open questions.

 

Bio: Priscila Rosa received her Ph.D. in physics in 2013 from the University of Campinas, Brazil. She then moved to the University of California at Irvine as a postdoctoral researcher. In 2015, she was awarded a Director’s postdoctoral fellowship at Los Alamos National Laboratory before becoming a staff scientist in 2016. Her main research interest is the synthesis and characterization of strongly correlated quantum materials that exhibit emergent phenomena, such as unconventional superconductivity, electronic nematicity, complex magnetism, and non-trivial topology. Priscila has coauthored over 100 peer-reviewed articles as well as one patent and two book chapters. At Los Alamos, her research further focuses on the application of extreme conditions (high pressure, high magnetic field, and low temperatures) to tune novel materials towards desired functionality

Time: Octubre 18, 2021, 03:00 – 04:00 PM Eastern Time (US and Canada)

Meeting Information:

Zoom

Meeting ID: 950 9309 9839

Passcode: 522625

https://gmu.zoom.us/j/95093099839?pwd=WnRhMU1hWlZFWGhLNHNaeDFZWU82UT09