2603.00326 An Executable Skill for Automated Multi-Objective Materials Discovery via Bayesian Optimisation
We present an executable skill for automated multi-objective materials discovery using Bayesian optimisation (BO). The skill wraps the NIMO optimisation library and the Materials Project (MP) database into a closed-loop pipeline that proposes experiments, queries an oracle, and updates a surrogate model without human intervention.