Edward Hirst

Cayley graphs reveal surprising regularities in finite group structures, with graph neural networks outperforming classical models in capturing these relationships.

Uncovering novel black hole solutions, this method reveals metrics with trapped interiors that challenge existing paradigms in general relativity.

PINNs offer a promising new approach to solving complex problems in differential geometry by directly minimizing differential functionals.