Lesson summary

Welcome to the course on ChemApp for Python by Moritz to Baben, managing director of GTT-Technologies. This course aims to introduce you to ChemApp and its applications for navigating chemical space in fields like metallurgy, material science, and process engineering.

• Chemical space is vast and challenging to navigate, with each element representing a dimension.
• Unlike FactSage, ChemApp does not have a graphical user interface but offers more dimensions for exploring chemical space through coding in Python.
• FactSage is user-friendly, making it ideal for beginners with limited programming knowledge, enabling quick setup of calculations.
• ChemApp requires programming skills, leading to a longer learning curve but offers efficiency in repeating analyses and handling large data.
• Equi2Py, released with FactSage 8.3, facilitates an easy transition from FactSage to ChemApp by exporting Equilibrium calculations as Python scripts.

ChemApp for Python provides access to various applications, from process metallurgy to microstructure calculations, facilitating complex tasks in different domains within chemistry.

• The course includes sections on setting up the environment, learning Python basics, transitioning from FactSage to ChemApp, understanding ChemApp functionalities, advanced data handling, and workflow for equilibrium calculations.
• Furthermore, a best practices section offers tips and tricks for efficient use of ChemApp for Python.

Enjoy the course and feel free to provide feedback for course improvement. Contact us via the provided email address or the course platform. Thank you for joining!