Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …

Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …

Emerging memories have been developed as new physical infrastructures for hosting neural
networks owing to their low-power analog computing characteristics. However, accurately …

Nanoscale ionic programmable resistors for analog deep learning are 1000 times smaller
than biological cells, but it is not yet clear how much faster they can be relative to neurons …

This review addresses resistive switching devices operating according to the bipolar
valence change mechanism (VCM), which has become a major trend in electronic materials …

Electrochemical ion insertion involves coupled ion–electron transfer reactions, transport of
guest species and redox of the host. The hosts are typically anisotropic solids with 2D …

Non‐von‐Neumann computing using neuromorphic systems based on two‐terminal
resistive nonvolatile memory elements has emerged as a promising approach, but its full …