The main topics are:
• AI-accelerated materials design (e.g., predicting properties of advanced engineering materials)
• Multiscale modeling for molecular-to-macro system simulations
• Data-driven optimization of chemical and physical processes
• Surrogate modeling, digital twins and scientific machine learning for complex engineering or molecular systems
• Uncertainty quantification in physics- and AI-based simulations
• High-performance computing for large-scale molecular and engineering models
But contributions from all areas of CSE and AIMS are welcome. Participants are encouraged to give a talk, please register via E-Mail (u.roemer@tu-braunschweig.de). We are planning a student poster session and welcome recommendations for contributions. Details on the planning will follow.
