Applied Materials, Inc. announced a breakthrough in materials engineering that accelerates chip performance in the big data and AI era.   In the past, classic Moore’s Law scaling of a small number of easy-to-integrate materials simultaneously improved chip performance, power and area/cost (PPAC). Today, materials such as tungsten and copper are no longer scalable beyond the 10nm foundry node because their electrical performance has reached physical limits for transistor contacts and local inte...