About our Group

Composite Materials for Net Zero-Economy

Micromechanics 

Chemo-mechanics coupling

Gas-solid interactions

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 

Fracture and damage

Peridynamics

Composite Materials for Hydrogen Economy

Gas - Solid Interactions 

Machine Learning 

Hydrogen Permeation in Composite Materials 

Surrogate Modelling of Mass Transport 

Machine Learning 

Polymer Engineering 

Polymer Nanocomposites for Hydrogen Economy 

Modelling of Hydrogen Permeation in Nanocomposites

Hydrogen Permeation Testing

Hydrogen Permeation in Composite Materials 

Microstructure - Damage - Gas Permeability

Machine Learning 

Large strain response of polymer nanocomposites

Experimental testing 

Gaussian Process regression

Molecular Dynamics of Soft Matter

Machine Learning 

Gaussian Process regression