The London Institute’s papers are the official record of our discoveries. They allow others to build on and apply our work. Each one is the result of many months of research, so we strive to make them clear, inspiring and beautiful, and publish them in leading journals.

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AI-assisted maths

Learning integrability

We introduce an AI-based framework for finding solutions to the Yang-Baxter equation and discover hundreds of new integrable Hamiltonians.

ESEvgeny SobkoSLSM
Submitted
202405
Neurocomputing

Breaking classical barriers

Circuits of memristors, resistors with memory, can exhibit instabilities which allow classical tunnelling through potential energy barriers.

FCFrancesco CaravelliFSForrest SheldonFT
Science Advances
Image for the paper "The mathematical structure of innovation"
Theory of innovation

Recursive structure of innovation

A theoretical model of recursive innovation suggests that new technologies are recursively built up from new combinations of existing ones.

TFThomas FinkITIlia Teimouri
ArXiv
Image for the paper "How much can we influence the rate of innovation?"
Theory of innovation

The rate of innovation

The distribution of product complexity helps explain why some technology sectors tend to exhibit faster innovation rates than other sectors.

TFThomas FinkMRMartin Reeves
Science Advances