QUBO-Compatible Active Learning for Inverse Design of High-Entropy Alloys

Giorgio Silvi, Kirsten Bark, Rolando Reiner +5

Machine-learned forward models can rapidly predict alloy properties, but their use for inverse design remains challenging when the search should also retain compatibility with quad…