AI/ML Session

Given the growing interest in applying artificial intelligence and machine learning (AI/ML) to non-local thermodynamic equilibrium (non-LTE) modeling, this workshop will feature a dedicated half-day session on ML-based approaches to NLTE simulations. As ML research continues to expand into this domain, the session aims to explore how emerging technologies are being integrated with traditional NLTE models to enhance predictive capabilities, accelerate computations, and uncover new physical insights. This focused discussion will provide a valuable opportunity for the community to exchange ideas, showcase ongoing developments, and identify future directions at the intersection of ML and NLTE modeling. 

We are pleased to welcome five invited speakers who are leading efforts at the intersection of ML and NLTE modeling. Their presentations will highlight recent advancements and practical applications of machine learning techniques to NLTE problems, offering valuable insights and inspiration for future research in this rapidly evolving field.