The rapidly growing demand for data storage and processing, driven by artificial intelligence and other data-intensive applications, is posing a serious challenge for current computing devices based on the von Neumann architecture. For every calculation, data sets need to be shuffled sequentially between the processor, and multiple memory and storage units through bandwidth-limited and energy-inefficient interconnects, typically causing 40% power wastage. Phase-change materials (PCMs) show great promise to break this bottleneck by enabling nonvolatile memory devices that can optimize the complex memory hierarchy, and neuro-inspired computing devices that can unify computing with storage in memory cells.
The articles in the September, 2019 issue of MRS Bulletin highlighted recent breakthroughs in the fundamental materials science, as well as electronic and photonic implementations of these novel devices based on PCMs.
This webinar expanded upon the Bulletin issue, and an interactive Q&A session with the speakers was held at the conclusion of the presentations.
Phase-change materials: Empowered by an unconventional bonding mechanism Matthias Wuttig, RWTH Aachen
Integrated phase-change photonic devices & systems C. David Wright, University of Exeter
Harnessing Machine Learning Potentials to Understand the Functional Properties of Phase-change Materials Gabriele C. Sosso, University of Warwick