Physics-informed machine learning for structural dynamics

Physics-informed machine learning is a fast growing area of interest. Our team in the Dynamics Research Group at the University of Sheffield are looking at its use in structural dynamics, for structural health monitoring and system identification. These pages introduce the team and give a bit of background on our research with links to papers and presentations.



















Latest Posts

New pre-print from the group!

We have released a new pre-print: A spectrum of physics-informed Gaussian processes for regression in engineering.

Lizzy Cross gives keynote at EWSHM 2022

Lizzy Cross recently gave a keynote talk at the 10th European Workshop on Structural Health Monitoring In Palermo, Italy.

Nonlinear benchmarks workshop 2021

A number of the grey-box team recently attended the 5th edition of the workshop on nonlinear system ID benchmarks (info here).