In the era of "big data" and the "Internet of Things" the ever-expanding need for computational resources will be make evident the need for reduced energy consumption in modern information technologies. Energy is increasingly becoming a critical issue in the current architecture of processor-centric computing (von Neumann architectures) based on CMOS technology. To solve this bottleneck, researchers are expanding the search to new materials systems in search of the enabling understanding and phenomena that will make possible new technologies beyond CMOS including data-centric architectures including, for example, in-memory and near-memory computing which have been suggested as a promising solution. There is a grow set of foundational materials research required to make these device concepts possible and this represents an important research direction in the field.

This session, in turn, focuses on the discussion and analysis of those material solutions including aspects of fundamental materials response and phenomena, innovative synthesis approaches to produce such materials, associated process/processing/fabrication developments, and device prototypes focused on the realization of data-centric computing/AI technology for new types of low-power memory and logic devices.

ferroelectric ferromagnetic heterostructure Magnetic magnetic properties magnetoelectric memory piezoelectric spintronic