Hierarchical MCTS-Guided Bayesian Optimization for Co-designing Formulation and Processing of Thermosetting Polymers with Balanced Performance.
Optimizing the properties of thermosetting polymers presents an inherent challenge due to the high-dimensional formulation-processing parameter space and the trade-offs between thermomechanical properties. In this contribution, we propose a hierarchical Monte Carlo tree search (MCTS)-guided Bayesian optimization (BO) f...