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 …

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 …

Artificial neuromorphic systems based on populations of spiking neurons are an
indispensable tool in understanding the human brain and in constructing neuromimetic …

Neuromorphic computing has emerged as a promising avenue towards building the next
generation of intelligent computing systems. It has been proposed that memristive devices …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Phase-change memory (PCM) is an emerging non-volatile memory technology that has
recently been commercialized as storage-class memory in a computer system. PCM is also …

Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Operation speed is a key challenge in phase-change random-access memory (PCRAM)
technology, especially for achieving subnanosecond high-speed cache memory …

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

As complementary metal–oxide–semiconductor (CMOS) scaling reaches its technological
limits, a radical departure from traditional von Neumann systems, which involve separate …