Our research involves the simulation of novel materials from an atomistic level. We use a range of methods to scale from highly accurate quantum mechanics based methods that probe 10-100 atoms up to simulations involving thousands of atoms based on parameterized potential models. This multi-scale modeling approach links information on the atomic level to experimentally observable macroscopic properties. The ability to simulate the properties of materials accurately can be critical to gaining insight on the underlying phenomena and ultimately the design of novel materials. Below are current areas we are exploring in our research.
Enantioselective separation and synthesis of chiral molecules: [Keywords: Biomolecular, Nanosciencs, Surface Science]
The development of novel enantiopurification methods is important since many pharmaceuticals are chiral and a pair of enantiomers of the same chiral molecule can have vastly different biological properties. Prior research has shown that single-crystal chiral metal surfaces can differentiate between enantiomers of chiral molecules, but the requirement of large-surface area makes this approach commercially unviable. We are exploring the growth of chiral metal nanostructures on chiral metal oxides, in particular the deposition of Pt and Pd on chiral SrTiO3 and TiO2 surfaces. Our goal is to demonstrate that metal clusters on chiral oxide surfaces can be tailored to show enhanced enatiospecificity. We are also exploring the ability of chiral mineral surfaces, such as quartz and calcite, to bind the different enantiomers of chiral molecules selectively. This work may lead to the use of chiral mineral surfaces in enantioselective separation and catalysis applications.
Design of Novel Ceramics: [Keywords:Materials,Nanosciences]
Complex ceramic alloys, such as (1-x)Pb(Nb2/3Mg1/3)O3-xPbTiO3, show enhanced electromechanical properties that can be potentially tuned for a range of microelectronic applications. While the electromechanical properties of ceramic materials are dependent on crystal structure and chemical composition, the connection between observed material behavior and material structure is not always apparent. We are using atomistic simulations to examine the effect of chemical composition and ordering on the electromechanical properties of complex ceramic alloys in various crystal structure families, such as perovskites and pyrochlores.
Surface Reactivity under oxygen-rich conditions: [Keywords: Catalysis, Surface Science, Energy]
Operating internal combustion engines under oxygen-rich conditions can significantly enhance fuel efficiency and lower the emissions of hydrocarbons and CO, but there are drawbacks such as the generation of high levels of NOx compounds. There is still a lack of fundamental understanding of the reactive behavior of metallic surfaces under oxidizing conditions, which hinders the rational design of catalysts for these applications. A key need is to better understand the development of complex oxide phases on the metal surfaces and their subsequent impact on the surface reactivity. We are developing an accurate multi-scale modeling approach to simulate the evolution of these surface oxide phases and subsequent reactivity on experimentally relevant time scales.
For news about Professor Asthagiri and members of the Group for Computational Catalysis, please visit our department website.