Decoding atomic patterns in high-entropy alloys

This video illustrates how machine learning views the complex patterns created by different arrangements of atoms in high-entropy alloys—metals composed of several elements in roughly equal proportions. Machine learning helps scientists map out over a million of these arrangements, known as short-range order, which are key to understanding and designing advanced materials.