Completed Physics & Astronomy Engineering

EPSRC Centre for Doctoral Training in Theory and Simulation of Materials

In plain English

AI plain-English summary

Every new smartphone, wind turbine, or aircraft is ultimately limited by the materials it is made from—and the UK needs more researchers who can design those materials from the ground up, atom by atom. This Centre for Doctoral Training tackles a specific bottleneck: most UK doctoral students learn to simulate materials at only one scale—either the quantum level of electrons, the atomic level of crystal grains, or the macroscopic level of engineering stress. But real-world problems, such as making a battery last longer or a turbine blade resist higher temperatures, involve processes that span all these scales simultaneously. The programme trains students to bridge those scales, combining theory and simulation from chemistry through materials science to engineering. If successful, the Centre will produce a generation of researchers who can accelerate the discovery and development of materials for energy storage, nuclear power, electronics, transport, and healthcare. Industry demand is already high—many of the world’s top R&D-spending companies now employ in-house simulation specialists. The impact is not a single breakthrough but a steady stream of better materials, designed faster and more reliably, underpinning technologies that quietly keep modern society running.

View original technical description
The mission of the EPSRC CDT in Theory and Simulation of Materials (TSM) is to create a generation of scientists and engineers with the theoretical and computational abilities to model properties and processes within materials across a range of length- and time-scales. It aims to provide a multidisciplinary training to meet the need for versatile researchers capable of using the whole range of tools available to provide a holistic treatment of materials challenges relevant to industry and academe. The impact of materials on our economy is both vast in its scope and deep in its reach, since it is materials that place practical limits on the efficiency, reliability and cost of almost all modern technologies. These include: energy generation from nuclear and renewable sources; energy storage and supply; land-based and air transportation; electronic and optical devices; defence and security; healthcare; the environment. In recent years there have been significant advances in the predictive capability of computational tools for TSM. By providing fundamental understanding of underlying physical processes and mechanisms TSM is an indispensable pillar of modern research on materials. Computational materials science and engineering is changing how new materials are discovered, developed, and applied, from the macroscale to the nanoscale. Citation statistics show that research activity in TSM is growing at about twice the average rate for all fields. At the same time industrial demand for skills in TSM is also growing. A recent report presented evidence that a sizeable fraction of the 650 top companies worldwide by R&D spend in sectors relevant to materials have in-house staff working on TSM. The translation of TSM from academic inventors to industrial users has resulted from professional software development producing reliable tools with accessible interfaces. Training is a critical issue worldwide, both due to the limited computer programming skills of graduates and the multidisciplinary nature of research in materials. Many important phenomena in materials involve processes that take place over a range of length- and time-scales. However UK doctoral training in computational science typically focuses on single codes covering just one scale. There is an urgent need to train a new generation of doctoral students who are both confident and competent in using tools and theory across the scales from the level of electronic structure (physics and chemistry), through microstructure (materials science) to the continuum level (engineering). Versatile researchers like this are sought by industry because they can identify and use the right tools to treat problems comprehensively. The research theme of the TSM-CDT is therefore "bridging length- and time-scales". For their research projects students will have two supervisors working at complementary scales, normally from different departments, bringing together the perspectives of two disciplines on a common problem. This approach has already created new collaborations across nine departments at Imperial and further afield through the Thomas Young Centre, the London Centre for TSM. The CDT has adopted a 1+3 training model, consisting of a 12-month Master's in TSM in year 1 followed by the PhD in years 2-4. The aim of the Master's is to provide a rigorous training in theoretical methods and simulation techniques. It is multidisciplinary in nature, taught by staff from six departments and it is the only course of its kind in the UK. Cohort building is promoted by the Master's course, and the ethos of the CDT encourages collaboration and student ownership of the programme. The network provided by the cohort ensures that students appreciate the wider context of their research projects across disciplines. The student experience is further enhanced by bespoke professional skills courses, outreach activities, master classes and the option to work on projects with industry.

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Researchers

Adrian Peter Sutton (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

A centre for doctoral training on the theory and simulation of materials
EPSRC Centre for Doctoral Training in the Advanced Characterisation of Materials
EPSRC Centre for Doctoral Training in Theory and Modelling in Chemical Sciences.
EPSRC Centre for Doctoral Training in Molecular Modelling and Materials Science
EPSRC and SFI Centre for Doctoral Training in the Advanced Characterisation of Materials (CDT-ACM)

Original classification

Training Grant

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