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 …

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

Modern computers are based on the von Neumann architecture in which computation and
storage are physically separated: data are fetched from the memory unit, shuttled to the …

The intrinsic variability of switching behavior in memristors has been a major obstacle to
their adoption as the next generation of universal memory. On the other hand, this natural …

This paper will review emerging non-volatile memory (NVM) technologies, with the focus on
phase change memory (PCM), spin-transfer-torque random-access-memory (STTRAM) …

Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs),
neuromorphic computing and hardware security are becoming more and more important …

Threshold switches with Ag or Cu active metal species are volatile memristors (also termed
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …

Resistive switching memory (RRAM) has been proposed as an artificial synapse in
neuromorphic circuits due to its tunable resistance, low power operation, and scalability. For …

Low-energy random number generation is critical for many emerging computing schemes
proposed to complement or replace von Neumann architectures. However, current random …

The intrinsic stochasticity of the memristor can be used to generate true random numbers,
essential for non-decryptable hardware-based security devices. Here, we propose a novel …