Partition coefficients (Ds) are an integral tool for understanding geochemical processes within the deep parts of the mantle. However, their availability is limited due to their challenging experimental determination. Leveraging the power of machine learning (ML) approaches, we developed a model to predict partition coefficients between clinopyroxene and liquid (ranging from anhydrous and hydrous melts to aqueous fluids) for 3...