Active Learning for Data‐Efficient Optimization of Entangled Granular Metamaterials
Entangled granular materials derive exceptional macroscopic rigidity from topological interlocking of their constituents. However, rationally designing particle geometries to maximize this effect remains a formidable challenge due to the immense configuration space and the prohibitive computational cost of discrete e...