The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Human nervous system, which is composed of neuron and synapse networks, is capable of
processing information in a plastic, data-parallel, fault-tolerant, and energy-efficient …

Emerging resistively switching devices are thought to enable ultradense passive
nanocrossbar arrays for use as random access memories (ReRAM) by the end of the …

Redox-based resistive switching devices (ReRAM) are an emerging class of nonvolatile
storage elements suited for nanoscale memory applications. In terms of logic operations …

The unique complementary switching behaviour of complementary resistive switches
(CRSs) makes them very attractive for logic applications. The implementation of complete …

Physical unclonable functions (PUFs) exploit the intrinsic complexity and irreproducibility of
physical systems to generate secret information. The advantage is that PUFs have the …

Investigating the promising chalcogenide materials for the development of memory and
advanced neuromorphic computing applications is a critical step in realizing electronic …

Complementary resistive switching (CRS) is a suitable approach to minimize the sneak
leakage paths through a large resistive random access memory (RRAM) array. Here, an …

We report the complementary resistive switching (CRS) behaviors in a tantalum-oxide based
resistive switching memory device that reversibly changes its switching mode between …

In this paper, we discuss the recent progress on the fundamental understandings of
ECM/CBRAM cells but also on the improved device structures and reliability for high‐density …