TIMEleSS members met virtually in September 2021 to discuss on the transition zone. The meeting was led by Estelle Ledoux, PhD student at the Université de Lille.
The meeting was an occasion for Estelle to present her work, get feedback from the rest of the group, prepare for future collaborations, and get ready for her up-coming PhD defense!
TIMEleSS members met virtually in June 2021 for a virtual meeting on crust subduction. The meeting was led by Matthias Krug, PhD student at WWU Münster, and currently visiting the Université de Lille for 6 months.
The meeting was an occasion for Matthias to present his work and get feedback from the rest of the group.
TIMEleSS members are in Münster!
TIMEleSS PI C. Thomas is hosting a seismology training for TIMEleSS students.
Participants include TIMEleSS students E. Ledoux, J. Gay, F. Rochira, M. Krug, and guests from WWU Münster Mineralogy and Seismology labs.
The training is the opportunity to move on to the next step in the TIMEleSS project: combining Mineral Physics and Seismology observations and try to say something about deep mantle processes!
This weeks, students from the TIMEleSS project and our special guests are in Lille to learn about polycrystalline properties.
The course is focused on calculating elastic properties and seismic wave propagation features in a polycrystal, textured or not. We also spend some time trying to model texture development in a deformed polycrystalline aggregate thanks to VPSC simulations.
The participants from the TIMEleSS project, Jeffrey Gay (Lille), Estelle Ledoux (Lille), Matthias Krug (Münster), Federica Rochira (Münster), are delighted to host our very special guests, Tommaso Mandolini (Lille), Ilya Kupenko (Münster), Angelo Pisconti (Münster),
Morvarid Saki (Münster), and Lea Pennacchioni (GFZ) for the week.
All should dream of Euler angles and 3D-rotations by the end of the week!
Matthias Krug from the mineralogy group in Münster is visiting the Lille group for one month!
He is working with Jeffrey Gay and Estelle Ledoux to improve their methods for processing x-ray diffraction data.
Hopefully, by the end of the month, they will all have nice datasets to think about!