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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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And you may ask yourself, “Well… how did I get here?”
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Testing the consistency of machine learning models in quantum chemistry
{Python, Gaussian, bash, high performance computing}
Developing transfer learning models to detect tumours in 3D images of the brain
{Python, PyTorch, Numpy, tcsh, high performance computing}
Using generative models to simulate light detection in liquid argon time projection chambers
{Python, Tensorflow/Keras, bash}
Creating extensions of magnetic spin models, including the 2D XY and 3D Heisenberg models
{Python, Numpy}
Analysed simulated and real data of particle physics collisions using C++ with ROOT
{C++, ROOT}
Published in ChemistryOpen, 2019
Investigating the change in energetics (due to steric effects) of topological atoms due to multi-directional compression.
B. C. B. Symons, D. J. Williamson, C. M. Brooks, A. L. Wilson, P. L. A. Popelier (2019). Does the Intra‐Atomic Deformation Energy of Interacting Quantum Atoms Represent Steric Energy? ChemistryOpen. [BIB] [PDF]