Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …

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 …

Reconfigurable devices offer the ability to program electronic circuits on demand. In this
work, we demonstrated on-demand creation of artificial neurons, synapses, and memory …

Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …

Hexagonal boron nitride (h‐BN), an insulating 2D layered material, has recently attracted
tremendous interest motivated by the extraordinary properties it shows across the fields of …

Neuromorphic computing could address the inherent limitations of conventional silicon
technology in dedicated machine learning applications. Recent work on silicon-based …

Open framework materials (OFM) constitute a large and growing class of nanoporous
crystalline structures that is attracting considerable attention for electronic device …

The use of molecules bridged between two electrodes as a stable rectifier is an important
goal in molecular electronics. Until recently, however, and despite extensive experimental …

With the upcoming trend of Big Data era, some new types of memory technologies have
emerged as substitutes for the traditional Si-based semiconductor memory devices, which …