Machine-learning-enhanced time-of-flight mass spectrometry analysis

no code implementations • 2 Oct 2020 • Ye Wei, Rama Srinivas Varanasi, Torsten Schwarz, Leonie Gomell, Huan Zhao, David J. Larson, Binhan Sun, Geng Liu, Hao Chen, Dierk Raabe, Baptiste Gault

Mass spectrometry is a widespread approach to work out what are the constituents of a material.

BIG-bench Machine Learning

Intermixing of Fe and Cu on the atomic scale by high-pressure torsion as revealed by DC- and AC-SQUID susceptometry and atom probe tomography

no code implementations • 7 Sep 2020 • Martin Stückler, Heinz Krenn, Philipp Kürnsteiner, Baptiste Gault, Frédéric De Geuser, Lukas Weissitsch, Stefan Wurster, Reinhard Pippan, Andrea Bachmaier

The capability of high-pressure torsion on the preparation of supersaturated solid solutions, consisting of Cu-14Fe (wt.%), is studied.

Materials Science

On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation

no code implementations • 1 Sep 2020 • Markus Kühbach, Matthew Kasemer, Baptiste Gault, Andrew Breen

We report how this enables the development of an open-source software tool for strong-scaling and automated identifying of crystal structure and mapping crystal orientation in nanocrystalline APT datasets with multiple phases.