演讲题目:Charge, Thermal and Spin Transport in Graphene: The Predictive power of Order N Quantum Transport Methods
主题会场石墨烯战略前沿
开始时间2017-09-25 14:00:00
结束时间2017-09-25 14:30:00
内容摘要
I will discuss charge, thermal and spin transport in chemically and structurally complex forms of graphene accounting from substrate effects, polycrystalline morphology of CVD graphene, and chemically functionalization; all aspects being of crucial relevance for the development of applications in flexible and transparent electronics, energy harvesting and spintronics. Multiscale simulation and predictive modelling will be demonstrated to enable calculations of physical properties in realistic models very large system sizes (with up to 1 billion atoms), reaching the experimental and technology scales.
First, one will focus on a quantitative analysis of transport properties in presence of structural imperfections as produced during the wafer-scale production of graphene through chemical growth (CVD), the chemical transfer to versatile substrates, and the device fabrication. Fundamental properties of charge mobilities in polycrystalline graphene, accounting the variability in average grain sizes and chemical reactivity of grain boundaries as observed in real samples grown by CVD will be presented, together with their relevance for device optimisation and diversification of applied functionalities such as chemical sensing [1]. In a second part, I will briefly mention our main results on spin transport in ultraclean sample in presence of electron-hole puddles and vanishingly small spin-orbit interaction (SOI) as well as in chemically disordered graphene with strongly enhanced SOI [2,3]. Unique spin dynamics phenomena in graphene, such as the formation of the Quantum Spin Hall state and a crossover to the Spin Hall effect under ad-atom segregation have been discovered [3], as well as the role of spin-pseudospin entanglement in driving the spin relaxation mechanism in the ultraclean graphene limit (graphene on BN substrate), or the manifestation of Dyakonov-Perel mechanism for graphene on SiO2 [2]. These results clarify current controversies and open unprecedented perspectives for achieving proofs of concepts of spin manipulation, contributing to the progress towards non-charge based revolutionary information processing and computing.