21–25 September 2026, CNRS CAES Village (St-Pierre d’Oléron)
This course aims to develop an integrated approach to generating synthetic data for supervised learning, based on the combination of multi-scale material simulations (DFT, MD, XAS spectroscopy) and comprehensive digital twins of experimental X-ray and neutron facilities, including instrumental effects and experimental artefacts.
This training course is intended for:
- Doctoral
- Post-doctoral students
- Teachers-research
- Researchers / research engineers
- English proficiency at B2 level (the training is delivered in English
- Basic knowledge of X-ray and/or neutron instrumentation is desirable, as well as of scientific data processing tools: numerical computation (Python, etc.) / simulation
- Personal laptop for practical sessions with software pre-installed McStas [https://mcstas.org/] and McXtrace [https://mcxtrace.org/].
This traning is partly supported by the PEPR DIADEM Academy
