Design of Materials for Multi-functional Applications – A view from “Solid State Physics”
Pan Hui
Institute of Applied Physics and Materials Engineering,
Department of Physics and Chemistry, Faculty of Science and Technology
University of Macau, Macao SAR, China
EXTENDED ABSTRACT: Materials design through high-throughput computation or machine learning has been attracting extensive attention for the high efficiency to predict the expected materials in various applications. Here, a view from “Solid State Physics” will be presented on the fundamental design principle. A few examples will be given, including: (1) Functionalized MXenes as effective electrocatalysts for hydrogen evolution reaction (HER), nitrogen reduction reaction (NRR), and CO2 reduction reaction (CO2RR); (2) 2D CoOOH for enhanced oxygen evolution reaction (OER) via strain engineering to tune the spin state; (3) Design of Janus 2D monolayers for hydrogen production, rechargeable ion batteries, and piezoelectric devices; (4) Composition engineering to design 2D materials – MSi2CxN4-x (M = Cr, Mo, and W; x = 1 and 2) - with tunable electronic and magnetic properties; (5) Structural engineering to design novel 2D materials for multiple applications; and (6) Surface engineering to design catalysts for NRR.
Dr. Hui Pan is a full professor in the Institute of Applied Physics and Materials Engineering, and the founding head of Department of Physics and Chemistry in the Faculty of Science and Technology at the University of Macau. He got his PhD degree in Physics from the National University of Singapore in 2006. From 2006 to 2013, he worked at National University of Singapore as a Research Fellow, Oak Ridge National Laboratory (USA) as a Postdoctoral Fellow, and Institute of High Performance Computing (Singapore) as a Senior Scientist, respectively. He joined the University of Macau as an assistant professor in 2013. He was promoted to associate professor and full professor in 2017 and 2020, respectively. In his research, a combined computational and experimental method is used to design and fabricate novel nanomaterials for applications in energy conversion and storage (such as electrocatalysis, photocatalysis, supercapacitors, hydrogen storage, and fuel cells), electronic devices, spintronics, and quantum devices. He has published more than 240 papers in international peer-reviewed journals. The total citation is ~ 10000. Additionally, he is the author of 5 book chapters and the inventor of 4 USA and 6 China patents. His present h-index is 49.