Computational materials science

Find out more about computational materials science and the areas we explore within our research group.

Our research uses atomic-scale modelling to understand the behaviour of advanced materials. We are focused on nanoscale materials for catalytic applications and the design of novel dynamic materials.

hydrogen surfing on a cartoon model of liquid GA-alloy
The mobility of hydrogen on liquid Ga-alloy surfaces is critical to their ability to reduce carbon dioxide.

Areas of research

Liquid metal alloys for carbon dioxide reduction

Alloys of gallium are so-called low-temperature liquid metals, which melt at just above room temperature. Mixing in a little bit of tin or indium to liquid gallium makes it a very active catalyst that can convert the harmful greenhouse gas CO2 to the industrially useful compound, formate. Using density functional theory and molecular dynamics simulations, we explore what key features of liquid Ga-alloys make them such effective catalysts.

molecules changing form due to temperature increase
A gallium structure changes as the temperature changes.

Understanding dynamic materials

When materials are in the liquid state, their atoms don’t behave the same way as our usual solids. Instead, the chaotic and dynamic motion of atoms in the liquid state confers fascinating new properties—including high catalytic activity, structural flexibility, and ‘self-healing’ properties. In our atomic-scale simulations, we track and understand this dynamic motion, linking it to key physical properties via statistical methods.

liquid metal can be atomically manipulated by solid support
The atomic structure of a liquid metal may be tuned and controlled by the application of a solid support.

Controlling liquid metals with solid supports

In order to harness the full potential of liquid metals, we need a way to adapt and control their chaotic structures. We explore the support-tuning of liquid metal materials by placing them on top of solid supports which influence their structures. This route of investigation provides opportunities for the rational design and industrial implementation of well-controlled liquid metal structures.

Technical tools

  • Density functional theory (VASP, Gaussian, Orca)
  • Ab initio molecular dynamics
  • Machine learning—clustering algorithms, and machine learned force fields
  • Modelling of reaction paths, surface adsorbates, catalysis and energy barriers
  • High-performance computing.

Collaborations

  • The Institute for Integrated Cell-Material Sciences (iCeMS), Kyoto University, Japan
  • The MacDiarmid Institute for Advanced Materials and Nanotechnology
  • Australasian liquid metals research community (RMIT, University of Sydney, UNSW).

Senior Research Fellow
School of Chemical and Physical Sciences

Research funding

The following organisations have kindly supported research in this area:

  • Rutherford Foundation Trust—Royal Society—Te Apārangi
  • Marsden Fund—Royal Society—Te Apārangi
  • MacDiarmid Institute for Advanced Materials and Nanotechnology.