Machine learned designs of functional colloidal foldamers
Using reinforcement learning, model DNA-coated droplet chains are folded into rigid two-dimensional geometries, uncovering two classes of pathways: downhill, in which bonds are only added, and detour, in which bonds are broken and remade before the target is reached: for some the only route that exists.