Computational methods have proven revolutionary for the rational design of artificial proteins and synthetic heteropolymers. However, while protein design benefits from large machine learning models trained on hundreds of thousands of experimentally-determined structures, synthetic heteropolymer design lacks sufficient training data and must instead rely on physics-based models and combinatorial optimization. When cast in such a […]