Université Clermont Auvergne

Enabling stable preservation of ML algorithms in high-energy physics with petrifyML

Machine learning (ML) in high-energy physics (HEP) has moved in the LHC era from an internal detail of experiment software, to an unavoidable public component of many physics data analyses. Scientific reproducibility thus requires that it be possible to accurately and stably pres...

Experimental full-field investigation of stress development in austenite during the thermally-activated transformation of a Cu-Al-Ni single crystal

The paper presents an experimental analysis of the stress field developing within austenite in a Cu-Al-Ni single crystal during its thermally-activated transformation to martensite. Starting from a virgin sample in austenitic state, fifty homogeneous cooling-heating cycles allowe...