A strategic roadmap for an atomistic machine-learning ecosystem
This roadmap outlines a strategy for building a healthy atomistic machine learning ecosystem. It addresses challenges like data sharing issues and methodological tension between prediction types by proposing concrete actions for coordination, standardized interfaces, and mandatory uncertainty quantification. The goal is to move beyond exploration toward a robust, impactful system.