基本信息
浏览量:6
职业迁徙
个人简介
Dr Asad Jamal obtained his PhD from the Institute of Physics, University of Freiburg, Germany in September 2016. As an experimental physicist, he studied the phenomenon of self‐assembly of achiral organic molecules into ordered nanostructures via tuning the interplay of intermolecular interactions in a German‐French collaborative project within the framework of the International Research Training Group (IRTG) “Soft Matter Science”.
In March 2017, he joined the Tribology group at Imperial College London as postdoctoral researcher. From March 2017 to February 2019, he done a research project in collaboration with a European industrial partner to explore the basic mechanism of commonly used corrosion inhibitors and their potential effectiveness as friction modifiers.
In March 2019 he joined the EDEN 2020 project where his research aims to probe, quantify and map the mechanical properties of cerebral white matter using an Atomic Force Microscopy based approach which will help to understand in a predictable manner the localised mechanical behaviour of brain undergoing drug infusion and to develop a model.
In March 2017, he joined the Tribology group at Imperial College London as postdoctoral researcher. From March 2017 to February 2019, he done a research project in collaboration with a European industrial partner to explore the basic mechanism of commonly used corrosion inhibitors and their potential effectiveness as friction modifiers.
In March 2019 he joined the EDEN 2020 project where his research aims to probe, quantify and map the mechanical properties of cerebral white matter using an Atomic Force Microscopy based approach which will help to understand in a predictable manner the localised mechanical behaviour of brain undergoing drug infusion and to develop a model.
研究兴趣
论文共 8 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Journal of Physics Conference Series (2012)
semanticscholar(2009)
引用0浏览0引用
0
0
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn