University of Delaware researchers report new method for characterizing materials that might eventually help store energy
Renewable technologies are a promising solution for addressing global energy needs in a sustainable way. However, widespread adoption of renewable energy resources from solar, wind, biomass and more have lagged, in part because they are difficult to store and transport. As the search for materials to efficiently address these storage and transport needs continues, University of Delaware researchers from the Catalysis Center for Energy Innovation (CCEI) report new techniques for characterizing complex materials with the potential to overcome these challenges.
Currently technologies exist for characterizing highly ordered surfaces with specific repeating patterns, such as crystals. Describing surfaces with no repeating pattern is a harder problem. UD doctoral candidate and 2019-2020 Blue Waters Graduate Fellow Josh Lansford and Dion Vlachos, who directs both CCEI and the Delaware Energy Institute and is the Allan and Myra Ferguson Professor of Chemical and Biomolecular Engineering, have developed a method to observe the local surface structure of atomic-scale particles in detail while simultaneously keeping the entire system in view.
The approach, which leverages machine learning, data science techniques and models grounded in physics, enables the researchers to visualize the actual three-dimensional structure of a material they are interested in up close, but also in context. This means they can study specific particles on the material’s surface, but also watch how the particle’s structure evolves — over time — in the presence of other molecules and under different conditions, such as temperature and pressure.
Put to use, the research team’s technique will help engineers and scientists identify materials that can improve storage technologies, such as fuel cells and batteries, which power our lives. Such improvements are necessary to help these important technologies reach their full potential and become more widespread.
Read the full story from University of Delaware here.