Topics

The purpose of the school is to equip participants (mainly students, PhD and PostDoc) with the fundamental theoretical foundations of AI and ML, while showcasing real-world applications in many branches of chemistry and materials science and, when possible, offering hands-on sessions for practical experience.

We have defined the program in five broad topics:

• T1: ML foundation

• T2: Methods for interatomic models and materials

• T3: Chemical discovery & molecular design

• T4: Catalysis and FAIR wrap-up

• T5: Statistical physics and mechanisms

The school's main aim is to encourage open discussion and Q&A, and to get students to interact informally with the speakers. This is to help build and strengthen future collaborations. Students willing to present a flash contribution have to submit an abstract during the pre-registration stage at this link.