报告人：殷骏 教授（香港理工大学）
报告题目：Computational Insights into Understanding and Discovering Perovskite Materials
报告时间：2023年12月22日上午9:00
报告地点：909-B厅
报告摘要：
Computational materials science, once primarily focused on elucidating material properties, have entered a new era marked by the development of powerful theoretical tools for accurately predicting novel materials and phenomena, as well as for describing physical and chemical processes across different simulation length scales. This evolution has results in a diverse array of meticulously crafted computational toolsets, including many-body perturbation theory (MBPT), density functional theory (DFT), and molecular dynamics (MD). These methodologies often intersect, fostering the dynamic vitality of interdisciplinary theoretical and computational materials research. Armed with these advanced toolsets, I will provide an overview of our theoretical investigations into the perovskite materials. Specifically, I will delve into our understanding of how the dimensionality, crystal structure and chemical composition influence and refine their photophysical properties. Additionally, I will highlight our recent advancements in studying the hot carrier cooling processes in layered two-dimensional (2D) hybrid perovskites. Furthermore, I will discuss our recent study on engineering the organic spacers to enhance spin splitting in layered 2D hybrid perovskites.
个人简介 ：
殷骏，香港理工大学应用物理系助理教授，香港理工大学校长青年学者。2016年获得新加坡南洋理工大学物理与应用物理学博士学位，师从Cesare Soci教授。同年加入沙特阿卜杜拉国王科技大学（KAUST）Jean-Luc Brédas教授课题组从事博士后研究。2019年晋升研究科学家，在Osman Bakr 教授和 Omar Mohammed 教授课题组开展合作研究。殷骏博士课题组以钙钛矿为主要研究对象，聚焦于“构性关系与性能调控”这一关键科学问题，发展并完善了一套以多种理论模拟手段（密度泛函理论、多体微扰理论、分子动力学和非绝热分子动力学）相结合的策略，针对不同维度的钙钛矿材料构建了相应的物理模型以模拟其光物理过程，预测其光电特性，建立构性关系并最终实现性能调控。已发表SCI论文180余篇（h因子60），以第一（含共同）和通讯作者在Nat. Photonics、Nat. Energy、Sci. Adv.、Nat. Commun.、Adv. Mater.、J. Am. Chem. Soc.等期刊发表论文65篇。2023年获得香港研究资助局杰出青年学者计划（ECS）。
联系人：陈先凯 教授