3 papers
cs.LG2026
From Grey-Box to Green-Box: When can Physics-Informed Machine Learning Reduce Carbon Footprints in Structural Health Monitoring?
Daisy R. Bradley, Nathan A. Hinchliffe, Daniel J. Pitchforth +2
Machine learning plays an increasingly vital role in engineering, but the corresponding increase in compute time is not without environmental cost. Physics-informed machine learnin…
cs.LG2026
Green Physics-Informed Machine Learning Models For Structural Health Monitoring
Daisy R Bradley, Elizabeth J Cross
Machine learning continues to emerge as an important tool to be utilised within structural engineering and structural health monitoring, due to its ability to accurately and quickl…
cs.LG2025
Physically-informed change-point kernels for structural dynamics
Daniel James Pitchforth, Matthew Rhys Jones, Samuel John Gibson +1
The relative balance between physics and data within any physics-informed machine learner is an important modelling consideration to ensure that the benefits of both physics and da…