Modelling of new materials
By integrating computational and mathematical methodologies into the development of new materials and technologies, we can design new safer nanomaterials with ‘safer-by-design’ approach working closely with the toxicologists and biologists, model new material features for optimal material/tissue interaction, advise on materials structure and properties for disease-specific pharmacokinetic/pharmacodynamics profile, and design pre-clinical translation experiments.
Advanced materials drive technological progress and the accompanying quality of life improvements with respect to medical interventions. The materials needed to generate these innovations have a wide range of properties including granular media, cellular biological materials, soft materials such as foams, colloids, emulsions, and gels, and acoustic metamaterials. However, in order to predict how these materials will interact with biological substrates and scale up production, enabling translation, we need to understand the mathematical basis of their physical and chemical behaviour.
The UK has had enormous success in developing new materials that are useful in a broad range of applications. However, understanding and improving the properties of these increasingly complex media requires a new generation of mathematically literate students, trained in materials modelling and with a proper understanding of experimental science.
This cross-cutting capability brings together a diverse mix of mathematicians, physical scientists, engineers and data scientists to improve our ability to understand and design advanced materials and materials systems. This is achieved by working at the interface of modelling and experimentation and by working closely with industrial partners.