School on Machine Learning for Molecules and Materials Research

Date: June 9-13, 2025
Location: Zadar, Croatia
Registration deadline: March 28, 2025.

Machine learning and data-driven methods, combined with atomistic and molecular modeling, are transforming computational predictions with greater accuracy and informativeness. This shift is evident in the growing adoption of these methods across industries such as pharma, energy, and aerospace, as well as in the rise of start-ups leveraging AI for materials discovery.

To support researchers in integrating machine learning into their work, this school will introduce key methodologies through lectures and hands-on tutorials. Topics include machine learning-driven high-throughput searches, Bayesian optimization, generative models, large language models, interatomic potentials, excited state dynamics, coarse-grained models, and integrating experimental data.

The school will foster knowledge transfer and networking, particularly among researchers from widening countries in Europe. Participants can submit oral or poster contributions.

Further information available at: CECAM – School on Machine Learning for Molecules and Materials Research

Acknowledgement

The school is part of the CASTIEL2 “Training Sprint” initiative.