www.8873.com:2020-07-01 作者:    编辑:康瑶    来源:理论物理交流平台


题 目:Relativistic quantum chimera and cloaking in graphene

报告人:Ying-Cheng Lai

时 间:2020年7月2日(周四)上午9:00



报告摘要:In this talk, two topics in Dirac materials physics are discussed. The first is the simultaneous emergence of classically integrable and chaotic dynamics and their quantum manifestations in a graphene system subject to external electrical and magnetic fields. The distinct relativistic quantum fingerprints associated with different electron spin states are due to a physical mechanism analogous to the chiroptical effect in the presence of degeneracy breaking. The phenomenon mimics a chimera state in classical complex dynamical systems but here in a relativistic quantum setting-henceforth the term "relativistic or Dirac quantum chimera." Potential applications include enhancement of spin polarization, unusual coexisting quasi-bound states associated with distinct spin configurations, and spin selective caustics. The second topic is about a recently developed machine learning approach to cloaking in graphene systems, where multilayer neural networks are exploited to find complex scattering configurations in graphene to minimize or even nullify the scattering efficiency.

报告人简介:YCL earned B.S, and M.S. degrees in Optical Engineering from Zhejiang University in 1982 and 1985, and MS and PhD degrees in Physics/Nonlinear Dynamics from University of Maryland, College Park in 1989 and 1992, respectively. Currently, he is the ISS Endowed Professor of Electrical Engineering and a Professor of Physics at Arizona State University. YCL received the Presidential Early Career Award for Scientists and Engineers (PECASE) from the White House in 1997. He has been a Fellow of the American Physical Society since 1999. In 2016, he was selected by the Pentagon for the Vannevar Bush Faculty Fellowship. In 2018, he was elected as a Foreign Member of National Academy of Science and Letters of Scotland. So far, he has published 490 refereed-journal papers and a comprehensive research monograph on Transient Chaos (500 pages, Springer, 2011) , and his papers have been cited over 23,000 times (Google-Scholar, H-index 73, i10 index 368). His current research interests are nonlinear dynamics, complex networks, quantum chaos, Dirac materials physics, biological physics, data analysis, signal processing, and machine learning.

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