At the intersection of physics, chemistry, and computer science lies our computational materials science research lab, South London Innovative Materials Evaluation Squad (SLIMES), led by Dr. John Buckeridge. For the last couple of years, we have been constantly working on our research area using various computational tools like VASP, Quantum Espresso, and VESTA to push the boundaries in materials research.
We utilize state-of-the-art software to gain insights across diverse areas - from defects and charge transport to functional materials design. Recently, we also started focusing on integrating machine-learning and artificial intelligence methods to enhance efficiency and discovery in our pursuit of the materials innovations of the future.
We employ advanced computational modelling and simulation to predict materials properties and discover new materials for next generation technological applications.
Thinking of a new material with desired capabilities or targeted material properties, and vigorous literature survey.
Modelling 3D models of materials structures leveraging high-performance modelling platforms.
Running simulations on the computational models or building ML models to predict new materials or materials properties.
Analyzing the simulation or ML outputs using appropriate tools ranging from different visualizing software or ML techniques.