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Persoonlijk profiel

Quote

"My goal is to understand and control the process-structure-property-performance relationship of materials at the atomistic and nanoscale."

 

Research profile

Shuxia Tao is Assistant Professor of Computational Materials Physics at department of Applied Physics, TU/e. Her research interests lie in the development and application of atomistic and multiscale computational methods in the area of novel solar energy conversion and storage technologies. A key feature of all novel solar energy technologies is their highly interdisciplinary nature, at the intersection of chemistry, physics, and materials science. Computational Materials Science is a powerful way to study the interplay of the chemistry and physics of materials, providing new insights into the relation of the atomistic details of materials with their device performances. Details of her research can be found at her group site: www.shuxiatao.com.

Academic background

With a physical chemistry background from Nankai University in China, Shuxia Tao started her PhD in 2007 at Department of Chemical Engineering and Chemistry, TU/e. There she learnt Computational Materials Science and earned her PhD in 2011 with a thesis on hydrogen storage in metal hydrides for battery applications. After a short career break to care for her children, from 2013 to 2016, she worked as a post-doctoral researcher at NWO physics institute NIKHEF for computational materials design for photodetectors.

With two prestigious personal grants, NWO-Shell Compotational Sceince for Energy Research tenure track grant in 2016 and NWO START-UP grant in 2019, she established her research group Computational Materials Physics at Department of Applied Physics, TU/eHer current research focuses on the devolepment of atomistic (density functional theory) and multiscale (from atomic to nanoscale and from materials to device) computational methods and their application in materials used for solar energy applications. Her group is a part of Materials Simulation & Modelling (MSM) and she is a member of Center for Computational Energy Research (CCER).

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