The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …

Quantum chemical bonding descriptors have recently been utilized to design materials with
tailored properties. Their usage to facilitate a quantitative description of bonding in …

Computer simulations can play a central role in the understanding of phase-change
materials and the development of advanced memory technologies. However, direct quantum …

Optical phase change materials (O-PCMs), a unique group of materials featuring
exceptional optical property contrast upon a solid-state phase transition, have found …

The global demand for data storage and processing has increased exponentially in recent
decades. To respond to this demand, research efforts have been devoted to the …

A unified picture of different application areas for incipient metals is presented. This
unconventional material class includes several main‐group chalcogenides, such as GeTe …

Traditional von Neumann computing architecture with separated computation and storage
units has already impeded the data processing performance and energy efficiency, calling …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Uniquely furnishing giant and nonvolatile modulation of optical properties and chalcogenide
phase change materials (PCMs) have emerged as a promising material to transform …

Chalcogenide phase-change materials (PCMs), such as Ge-Sb-Te alloys, have shown
outstanding properties, which has led to their successful use for a long time in optical …