报告人简介：
Dr. Li is an expert in quantum many-body physics. He earned his Ph.D. from the University of Tennessee in 2018, where he developed a neural-network quantum Monte Carlo method that accelerates quantum simulations by at least an order of magnitude. From 2018 to 2020, Dr. Li was a postdoctoral researcher at the University of Michigan, working with Emanuel Gull on simulating spectroscopies of strongly correlated quantum materials. He then joined Oak Ridge National Laboratory from 2020 to 2023, where he investigated the interplay between quantum many-body physics and topological physics. Since 2023, Dr. Li has been at Clemson University, focusing on the development of quantum machine learning algorithms and advancing the intersection of machine learning and quantum computing.

讲座摘要：
As is well known, phonons play a crucial role in governing thermal and electrical transport in both insulators and metals. In this talk, I will present phonon-controlled phenomena in correlated quantum materials. First, I will discuss the interplay between nonlocal electron-phonon interactions and electron-electron correlations in cuprate superconductors. Our findings suggest that the nonlocal electron-phonon interaction suppresses magnetic excitation energy, thereby reducing the effective super-exchange interaction strength. Next, I will introduce the concept of interfacial forward phonon interactions, which can induce a triplet superconducting state under a strong magnetic field. This mechanism leads to the emergence of Majorana fermions at the edge of a 2D system. Finally, I will explore the phonon-controlled thermal Hall effect in the Kitaev quantum spin liquid α-RuCl₃. Experimental observations indicate that α-RuCl₃ exhibits a half-quantized thermal Hall effect, attributed to the topological band of Majorana fermions. I will demonstrate how phonons impact this effect, providing insights into the sample-dependent thermal Hall behavior observed in experiments.

邀请人：蒋易凡