学术海报

学术海报

    高国平博士学术报告:Computational design of catalysts for clean energy conversion and storage

    日期:2018-12-25来源:前沿交叉科学研究院 浏览量:

    报告题目:Computational design of catalysts for clean energy conversion and storage

    报告人:高国平

    邀请人:王爱珠

    报告时间:2018. 12. 27(周四) 上午9:30

    报告地点:逸夫科学楼A208会议室

    报告内容:

    Energy supply and environmental degradation are two of the biggest challenges we are currently confront. To mitigate these energy supply and environmental challenges, converting of sunlight into fuels through renewable energy conversion and storage technologies, such as water splitting, fuel cell, metal-air battery and CO2 reduction, are considered promising solutions. Efficient photo/electrocatalysts play a crucial role in these energy conversion and storage technologies as they boost the kinetics and selectivity of the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), oxygen reduction reaction (ORR) and CO2 reduction, but these catalysts are dominated by scarce noble metals. Intensive research efforts have recently focused on reducing this noble metal loading or even replacing them with earth-abundant catalysts. Any technical breakthrough in this area would be advantageous for solving future energy and environmental problems. Our work investigates the relationships among atomic/electronic structure and catalytic performance and designing novel catalysts for clean energy conversion and storage, including HER, OER, ORR, CO2 reduction and gas adsorption and separation based on first-principles calculations.

    报告人简介:

          高国平博士受澳大利亚昆士兰科技大学博士奖学金资助,师从Aijun Du (杜爱军教授) (ARC Future Fellow),针对纳米能源转化和储存材料开展了系统深入的计算设计研究,包括二氧化碳还原,水分解等领域。博士期间获得了昆士兰科技大学的High achievers award,和优秀博士论文奖(top 5%),并于2017年获博士学位。且获得2017年中国政府的优秀自费留学奖。目前在美国劳伦斯伯克利国家实验室的世界著名计算材料专家Linwang Wang(汪林旺教授)课题组进行博士后研究。主要方向是通过开发新模型和新方法研究锂硫电池。

           以一作身份共发表了16篇,包括JACSAdv. Energy Mater., Nat. Commun., ACS Catal., J. Catal. 的高影响力论文,其中1篇热点文章(Nat. Commun. 2017, 8, 13907 共一作, 被引236次)和3篇高被引(J. Am. Chem. Soc. 2016, 138, 6292,被引213次;J. Phys. Chem. C 2015, 119, 13124,被引118次;ACS Catal. 2017, 7, 494被引83次)。同时与相关实验组开展了广泛合作,发表20篇包括Chem, Adv. Mater., Energy Environ. Sci.PNAS在内的论文。目前谷歌学术总引用数为1950 次,H指数为20