Contemporary artificial intelligence (AI) models often rely on deep learning 1,2, resulting in intense computational requirements that become increasingly difficult to fulfill with current technology.

Figure 1. Illustrations of the ultra-low power phase change memory device developed through this study and the comparison of power consumption by the newly developed phase change memory device ...

Phase-change materials (PCMs) have emerged as a versatile platform for reconfigurable and nonvolatile control of light in chip-scale systems. By exploiting a reversible transformation between ...

A squishy, layered material that dramatically transforms under pressure could someday help computers store more data with less energy. That’s according to a new study by researchers at Washington ...

A significant milestone has been reached in the advancement of non-volatile phase change memory, a form of electronic memory capable of retaining data even when power is disconnected, in a material ...