UCL scientists have shown how advanced computer simulations can be used to design new composite materials. Nanocomposites, which are widely used in industry, are revolutionary materials in which microscopic particles are dispersed through plastics. But their development until now has been largely by trial and error. The 'virtual lab' developed using supercomputer simulations greatly improves scientists' understanding of how composite materials are built on a molecular level. They allow the properties of a new material to be predicted based simply on its structure and the way it is manufactured, which the team behind the project say is a holy grail of materials science.

"Developing composite materials has been a bit of a trial-and-error process until now," says Dr James Suter (UCL Chemistry), the first author of the study. "It typically involves grinding and mixing the ingredients and hoping for the best. Of course we test the properties of the resulting materials, but our understanding of how they are structured and why they have the properties they have, is quite limited. Our work means we can now predict how a new nanocomposite will perform, based only on their chemical composition and processing conditions."

The team led by Professor Peter Coveney and based at the UCL Centre for Computational Science, looked at a specific type of composite material, where particles of the clay called montmorillonite are mixed with a synthetic polymer. It is impossible to study these with microscopes -- the processes are smaller than the wavelength of light, and therefore can't be observed directly. Moreover, the structure of the clay particles makes them tricky to study through less direct methods. The clay particles resemble stacked packs of playing cards, made up of tightly packed sheets (the cards) that may separate out and sometimes cleave off entirely as the long chain-like polymer molecules slide between them. This means much of the interaction between the polymer and the clay is hidden from view.

"Our study developed computer simulations that describe precisely how the layered particles and the polymer chains interact," says co-author Dr Derek Groen (UCL Chemistry). "The challenge is getting enough precision without the computer simulation being unmanageable. Certain processes need a highly detailed simulation which describes everything on a quantum level -- but if we simulated the entire sample at that level, we'd literally need several decades of supercomputer time."

The team showed that certain interactions, such as when the edge of a sheet of clay comes into contact with a polymer chain, require a quantum simulation; some require only an atomic-level simulation (where each atom in a molecule is represented as a ball on a spring); while others can have an even lower level of fidelity, bundling atoms together to give the approximate shape and properties of a molecule. These multiple ways of representing the same system constitute a multiscale approach to modelling materials, where the most appropriate level of detail can be adopted for different parts of the simulation.