Uncertainty quantification in atomistic modeling: From uncertainty-aware density functional theory to machine learning 2025

The event titled 'Uncertainty Quantification in Atomistic Modeling: From Uncertainty-Aware Density Functional Theory to Machine Learning' will take place at CECAM-HQ in Lausanne, Switzerland, from November 25 to November 28, 2025. This gathering will bring together leading researchers and practitioners in the fields of computational materials science and machine learning to explore the critical role of uncertainty quantification in atomic-scale modeling. Participants will engage in discussions on the latest advancements in uncertainty-aware density functional theory and its integration with machine learning techniques.