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Numerical and Quantum Computing Investigations of Phonons in Strongly Correlated Superconductors
09/13
2023
Seminar
- Title Numerical and Quantum Computing Investigations of Phonons in Strongly Correlated Superconductors
- Speaker Yao Wang (Emory University)
- Date 15:00 Sept. 13, 2023
- Venue 6420, South Building
Abstract
Correlated materials comprise a large part of the innovative landscape due to rich applications and unconventional phases, especially superconductivity. Establishing a minimal microscopic model is a crucial step in designing and discovering these materials. In this talk, I will introduce our recent numerical and quantum computing studies about the necessary components of microscopic models in correlated superconductors. This was motivated by the recent experimental progress in cuprate chains, where we identified a prominent folding feature beyond the predictions of the Hubbard model. With our recently developed hybrid algorithms, we provided a quantitative explanation through the coexistence of strong correlations and electron-phonon coupling. The interplay between these two interactions provides a possible reason for unconventional superconductivity and a control knob to turn it. Finally, I will briefly mention two attempts to increase superconductivity motivated by this mechanism through in-plane strains and ultrafast lasers.
Bio:
Yao Wang is an assistant professor at the Department of Chemistry of Emory University. He received bachelor degree from University of Science and Technology of China in 2011 and Ph.D. degree from Stanford University in 2017. After that, he worked at Harvard University as an MPHQ postdoctoral fellow. In 2020, he started his independent career as an assistant professor at Clemson and then the College of Science Dean's professor. He moved his group to Emory University in 2023. His research interests lie in the theoretical and computational study of quantum many-body problems and their experimental correspondence in solid-state materials and quantum science. He was the recipient of the DOE early career award of 2022 and AFOSR young investigator award of 2023.
Invitor:
Tao Shi