InvDesMobility: a reliability-gated first-principles feedback framework for closed-loop materials discovery
Researchers have developed InvDesMobility, a novel framework designed to enhance the reliability and auditability of closed-loop materials discovery. This system integrates automated density functional theory (DFT) calculations with evidence stratification and generative models to ensure that feedback used for learning is sufficiently validated. The framework has been demonstrated to effectively screen a vast number of structures and retain reliable data for training, making inverse design processes more robust and transparent. AI