About our Group

Composite Materials for Net Zero

Micromechanics of Advanced Materials

Multiphysics Modelling of Energy Materials  

Surrogate Modelling of Advanced Engineering Materials

Predictive Hydrogen Permeation Capability for Composite Materials

Mechanistic continuum modelling 

Machine Learning

Materials for Energy Storage

Mass Transport across Material Interfaces 

Computational Chemistry 

Machine Learning

Multiphysics Modelling & simulations 

Modelling of Energy Systems 

Gas Permeation in Flexible Pipeline Systems

Microstructural Evolution under Non-linear Deformations

Surrogate Modelling of Non-linear Deformations  

Machine Learning - Convolutional Neural Networks

Multiphysics Modelling of Energy Materials

Surrogate Modelling of Coupled Problems 

Machine Learning 

Polymer Engineering 

Polymer Nanocomposites for Hydrogen Economy 

Modelling of Hydrogen Permeation in Nanocomposites

Hydrogen Permeation Testing

Hydrogen Permeation in Composite Materials 

Microstructure - Gas Permeability Relations 

Machine Learning - Bayesian Approach

Development of Numerical Methods

Theoretical and Applied Mechanics of Materials 

Coupled Problems in Mechanics 

Large strain response of polymer nanocomposites

Experimental testing 

Gaussian Process regression

Molecular Dynamics of Soft Matter

Machine Learning 

Gaussian Process regression