Remote training courses will be hosted via video conference and will cover the same topics as the courses hosted at our Karlsruhe facility. The course will be broken up into a morning session and afternoon session (participants will attend both). Course work will include lecture sessions on principles of X-ray analysis as well as training sessions with different software packages. Participants will receive a customized virtual training environment complete with latest software versions and exercises.
The training will show the theoretical fundamentals and measurement techniques relevant for analysis of epitaxial thin films. The focus is on using the D8 ADVANCE and DISCOVER diffractometers and the DIFFRAC.LEPTOS software. Prior basic knowledge of direct and reciprocal space, and fundamentals of diffraction methods are beneficial. The course will be conducted in English, therefore good knowledge of English is also required.
This course takes place in the same week as the “Polycrystalline Thin Film and Coatings Analysis” course.
Remote courses will contain a morning and afternoon session.
Course Outline and Agenda
The participant should be familiar with the equipment and all its components and their functions. Knowledge of the basic principles of the operation of the system is a prerequisite. Training should not precede the installation of the system concerned.
May 04-05, 2022 (English, remote)
November 16-17, 2022 (English, remote)
Training should not precede the installation of the system concerned.
Class sizes are limited, so that each participant receives individual attention and participates in all hands-on activities. Early registration is encouraged as registrations are accepted on a first-come/first-served basis.
For courses taking place at our Karlsruhe facility, the course price includes course materials, lunch, and refreshments. Travel and accommodation are not included.
For remote courses, the fee includes 1 hour of remote follow-up support (to be used within 1 month after completion of the course).
Registrations cancelled within 10 working days prior to the start of the course are subject to a cancellation fee of 30 %. Registered persons not attending the course without having given prior notice will be fully charged. We reserve the right to cancel a course if there are less than three registrants by the registration deadline.
For further information about the course content, please contact:
Dr. Fernando Rinaldi
Application Scientist XRD
For information about price, registration, or other questions:
For a quotation, please contact: