2 papers
cs.LG2025
A neural network machine-learning approach for characterising hydrogen trapping parameters from TDS experiments
N. Marrani, T. Hageman, E. MartÃnez-Pañeda
The hydrogen trapping behaviour of metallic alloys is generally characterised using Thermal Desorption Spectroscopy (TDS). However, as an indirect method, extracting key parameters…
physics.chem-ph2025
Corrosion of metal reinforcements within concrete and localisation of supporting reactions under natural conditions
T. Hageman, C. Andrade, E. MartÃnez-Pañeda
Corrosion in concrete prevents in-situ observation, necessitating models to provide insight into the local reaction currents. We present a computational method for predicting corro…