Person
Albert Johann Glensk
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related units (1)
Related publications (2)
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Machine learning for metallurgy I. A neural-network potential for Al-Cu
William Curtin, Albert Johann Glensk, Daniel John Gilles Marchand, Abhinav Jain
High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting mechanical properties, are inherently atomic scale phenomena, particularly during ...
2020Phonon Lifetimes Throughout the Brillouin Zone at Elevated Temperatures from Experiment and ab initio
We obtain phonon lifetimes in aluminium by inelastic neutron scattering experiments, by ab initio molecular dynamics, and by perturbation theory. At elevated temperatures significant discrepancies are found between experiment and perturbation theory, which ...
2019