Computational code developed in association with PhD project: 'Modelling the floating-catalyst method for carbon nanotube production'. The main functionality of the code is in base_optimiser, this has all the underlying functions for constructing geometry, solving the flow, and setting up the adjoint optimisation.

The main code for my thesis is found in the reactor folder. The Thiophene optimisation scripts (Chapter 6) can be found in the reactor/hoecker/thiophene/absolute folder. The particle modelling scripts (Chapter 9) can be found in reactor/misc/cued_particles/ and the adjointised run (Chapter 10) can be found in reactor/misc/cued_particles/adjoint.

This code requires FEniCS, DOLFIN, and python3 to run, see https://fenicsproject.org/ for details on how to set it up. I recommend using anaconda.

The majority of the code runs on FEniCS 2018.1.0, but some older code might need adjustment to work with the new versions of FEniCS.

Further dependencies are listed in requirements.txt for pip3 to install. Pygmsh is used for the mesh description. In addition, an installed version of gmsh is required to automatically generate meshes with the code.

As the code has gone through continuous development over 4 years there are several scripts that do not work out of the box, but that need to be tweaked to run with the updated version of the code, and FEniCS.