The Computational Modelling Group is making some of the software we develop available to others involved in related research. By doing this we hope to provide a service to other researchers and to give some indication to potential collaborators of what we can achieve.
A knowledge-graph-based digital twin of the world
Machine learning for power conversion efficiency in organic photovoltaics
Matlab code for mapping fringes in HRTEM images of soot
Soot temperature and volume fraction from colour photographs
C++ version of our detailed population balance code for soot
Fortran 90 version of the MOpS/Sweep Particle Reactor Solver on sourceforge