Molecular dynamics simulation of lipid rafts. See Biological and Soft Matter Group. J. Biol. Chem. 60, 2111 (2006).
General. Computational methods have become an indispensable tool within quantitative sciences such as physics, chemistry, and materials science. Today's research relies heavily on computational modeling, both for predicting and for obtaining a more thorough understanding of complex chemical reactions, collective phenomena in condensed matter, and material properties. Although computational materials science is a highly interdisciplinary area encompassing many different fields, it is an area characterised by one common working philosophy: compute the large from knowing the small. When modelling a system, we teach our computer codes the rules for the interaction between small units. Such elementary units can range from electrons and nuclei to finite, coarse-grained elements containing billions of atoms. Accordingly, the rules for interaction between such units ranges from Coulomb's law and the Schrodinger equation to Hooke's Law and other macroscopic relations. Once a model is programmed, we let the computers predict the aggregate behaviour of all units. The purpose of such simulations ranges from obtaining qualitative insight into collective phenomena to calculating such quantitatively well-defined material properties as the mechanical hardness of a solid as a function of its chemical composition. The computational research at the Applied Mathematics Department is primarily in soft condensed matter physics and physical chemistry. Examples of current interest are microfluidic devices, colloidal systems, nanotribology including friction in biological systems, ceramics under high pressure, quantum-mechanical many-body systems, quantum chemistry, polymers, liquid crystals, disordered systems, and phase transitions.
Research groups.
Cross-appointed faculty at other departments.
Representative publications: