As computing systems push beyond silicon limits, researchers seek materials that can do more than simply store and process data. Molecular electronics once promised ultra compact devices, but real world molecular behaviour proved unpredictable. In parallel, neuromorphic computing has aimed to build hardware that can learn and adapt like the brain. Yet most existing platforms rely on rigid materials that only imitate learning through complex circuitry.