Dear colleagues,

We are very happy to announce the “COST NanoSpace AI in Astrochemistry Training School”; a COST/Aalto Summer School on artificial intelligence (AI) and machine learning (ML) tools in astrochemistry. The School will be held 5-8 August 2025 in Aalto University, Helsinki, Finland.

All detailed information about the COST NanoSpace AI in Astrochemistry Training School; i.e., programme, organising committees, registration, logistics, etc. can be found on the school’s website at: https://ocamm.fi/event/cost-nanospace-ai-in-astrochemistry-training-school-2025/ (also available via the NanoSpace website; https://research.iac.es/proyecto/nanospace/).

The list of topics and lecturers/trainers is the following:

• Fundamentals of ML - Miguel Caro, Aalto Univ., Finland

• Basics of Neural Networks - Xabier Pérez Couto, A Coruña Univ., Spain

• Gaussian Processes and Regressors - Mads-Peter V. Christiansen, Aarhus Univ., Denmark

• Intelligent Molecular Structure Search Algorithms – Isabelle Braems, IMN-CNRS, France

• ML for Chemical Intuition - Brett McGuire, MIT, USA

• ML for Radio Interferometry - Ryan Loomis, NRAO, USA

• ML Binding Energies of Astrochemically Molecules and/or Interpretable ML Techniques for Astrochemistry - Johannes Heyl, UCL, UK

• Neural Networks for Astrochem - Lorenzo Branca, Heidelberg Univ., Germany

• ML for Protoplanetary Disk Chemistry and/or ML for Star Formation Chemistry – (to be confirmed)

• ML for Interatomic Potentials - Rina Ibragimova, Aalto Univ., Finland

• ML for Radiation Damage in Space - Andrea Sand, Aalto Univ., Finland

***Short description of the COST NanoSpace AI in Astrochemistry Training School:

This AI in Astrochemistry Training School is organized by the COST Action NanoSpace (CA21126) in collaboration with the Aalto University, Department of Chemistry and Materials Science. The main goal of the AI in Astrochemistry Training School is to provide PhD students and young researchers, specialized knowledge and address the urgent need for training on AI tools in astrochemistry. The program will include several sessions on AI and ML tools and its actual or potential applications in astrochemistry (e.g., intelligent structure search algorithms, neural networks for astrochemistry, as well as ML for chemical intuition, radio observations, proto-planetary disk chemistry, interatomic potentials, and radiation damage in space), as well as series of practical exercises.

The School will be in person with attendance limited to 50-55 trainees and with priority given to PhD students and Young Researchers, who are strongly encouraged to participate. There is no registration fee and the NanoSpace COST Action will provide financial support (i.e. reimbursement after the event, covering full or partial travel, accommodation, and subsistence costs) for a significant number of participants (at least ~20-25), with high priority to those with a primary affiliation in an institution located in an Inclusiveness Target Country (ITC) / Near Neighbour Country (NNC) participating in the Action. The information requested in the registration form (https://link.webropolsurveys.com/EP/88F312F3CB3ED0FF) will be used to select the final list of registered participants as well as those eligible for financial support, which will be notified in advance of the Training School (i.e., by mid-June 2025). The attendees are expected to arrange their own travel and accommodation.

Domingo Anibal García-Hernández, NanoSpace Action Chair on behalf of the Organizing Committee