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Predicting hot-electron free energies from ground-state data
Machine-learning potentials are usually trained on the ground-state, Born-Oppenheimer energy surface, which depends exclusively on the atomic positions and not on the simulation... -
Electrostatic Ignition (Summary of experiment series E4.3 results)
Work package four of the PRESLHY project focuses on ignition phenomena. This report summarises the experimental series E4.3, which focuses on the propensity for an electrostatic... -
Fuel Cells and Hydrogen Joint Undertaking (FCH JU); Summary of experiment ser...
This report summarises the ‘rainout’ experiments undertaken by HSE, which was an experimental investigation into the release characteristics and dispersion of elevated spills of... -
PRESLHY Experiment series E3.1 (Cryogenic Hydrogen Blow-down/Discharge) resul...
In the frame of the PRESLHY project more than 200 hydrogen blow-down experiments were made with the DisCha-facility at KIT and about half of the experiments were made at... -
Summary of experiment series E4.3 (Electrostatic Ignition) results
Work package four of the PRESLHY project focuses on ignition phenomena. This report summarises the experimental series E4.3, which focuses on the propensity for an electrostatic...
