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Human activity has increased the amount of methane and carbon dioxide in the atmosphere, contributing to climate change. Therefore, there is an imperative for the transformation of these two gases into useful chemicals. To this end, we have employed state-of-the-art…

Caloric systems, capable of heating and cooling environments in response to a change in external conditions, are in ever increasing demand, be it in fridges, freezers, air conditioning or radiators. Typically, these systems are based on the latent heat absorbed…

Covalent organic frameworks (COFs) are a class of porous, crystalline materials composed of organic molecules, referred to as monomers, that are linked together through strong, covalent bonds. 2D COFs are synthesised by combining two planar organic monomers, and by virtue of…

Phasons are a particular type of collective motion of atoms that occur in aperiodic structures such as quasicrystals. The interaction between phasons and other collective excitations within a material leads to fascinating thermal and electronic transport phenomena. Recently, twisted moiré…

Machine learning and artificial intelligence is having a huge impact, but at their core they represent a set of models which can very accurately approximate high-dimensional functions. The wave function of a molecule or material describes the quantum mechanical probability…

The smoothness and feel of human hair are strongly influenced by the friction between strands. Typically, friction is controlled by surface roughness across a wide range of length scales. In this work, we study the nanoscale friction between two model…

Bismuth trichloride as a molecular precursor for silicon doping Atomic-scale device fabrication in semiconductor materials is a developing field with potential for revolutionary payoffs in quantum technologies. One key challenge in realizing this potential is the development of suitable precursor…

Extracellular vesicles (EV) have become a promising source of biomarkers for disease diagnostics via liquid biopsies from readily accessible bodily fluids but challenges remain on the sensitivity, specificity and clinical implementation of current analytical workflows. In this work, we are investigating the…

This paper presents the first model capable of predicting the electromechanical and fracture behaviour of self-sensing carbon nanotube (CNT)-based composites. The model captures the nano-scale mechanisms and constitutive behaviour of CNTs using a mixed micromechanics formulation. This is combined with…

In this paper, we looked at the α-cristobalite phase of silica (SiO2) and compared it to the better-studied α-quartz phase. We did this to explore how these two different phases would change when an oxygen atom was removed from the…