To fully realize the potential of ML-IPs, there is a pressing need to educate young and early-career researchers in the practical details of fitting and using machine learning potentials in research. In addition, we aim to provide researchers who have promising research ideas that could benefit from the application of ML-IPs a pathway to enter the field and make valuable contributions, not only in the application but also in the theory of ML-IPs. We envision this School as being especially helpful to those researchers who would otherwise find it difficult to enter the field because of a lack of expertise or connections in their local network or a lack of funding to attend important international conferences in this rapidly evolving field.

This workshop aims to get the community of computational X-ray spectroscopy together, and discuss recent advances, outstanding challenges, and the directions in which the field will be developing in the near and medium future.