skip to primary navigationskip to content
 

Dr. Paul Bristowe

Dr. Paul Bristowe

Reader in Computational Materials Science


Research themes

Buildings and Cities:

Our research is concerned with the atomistic modelling of defects, surfaces and interfaces in materials and their influence on physical properties

Materials and Chemistry:

Research Interests

Materials Modelling at the Atomic Level

Our research is concerned with the atomistic modelling of defects, surfaces and interfaces in materials and their influence on physical properties. We apply and develop modern quantum-mechanical methods and focus on functional materials with electronic and optical applications.

Multilayer optical coatings

Multilayer thin-film coatings are widely used in many optical applications including UV and infra-red blockers, lighting filters, anti-reflective films on spectacle lenses, solar control films on windows and conductive films on flat-screen displays. The interfaces between the multilayers of the coatings have an important influence not only on the optical properties of the films but also on their mechanical properties. We are using quantum-mechanical density-functional calculations to predict the structure, energy, bonding and dielectric characteristics of various metal/oxide interfaces in these systems with the aim of developing coatings with improved properties.

Ferroelectric materials for memory devices

Ferroelectric memory (FRAM) is a leading alternative technology to silicon flash memory because it is non-volatile, has a short erase time and operates at low voltages. Standard ferroelectric materials for FRAM are the perovskite-type compounds PZT and SBT. To further improve their ferroelectric properties, additional chemical substitutions have been made resulting in complex solid solutions such as PZTN, PLZT and BLT. We are using density-functional methods to predict the structural, chemical and electronic properties of these ferroelectrics in their bulk and thin-film form, focusing on defects, surfaces and interfaces.

Fast ion conductors

Interest in zirconia-based solid electrolytes for fuel-cell and sensor applications has lead to many atomic-scale simulations of these materials aimed at deducing the ionic diffusion mechanisms and relating them to the measured variation in conductivity. We are extending these simulations to consider more complex chemistries and microstructures including grain boundaries with the goal of predicting new materials with enhanced ionic conductivity.