The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

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

Recently, two-dimensional (2D) atomic sheets have inspired new ideas in nanoscience
including topologically protected charge transport, 1, 2 spatially separated excitons, 3 and …

While various crystalline carbon allotropes, including graphene, have been actively
investigated, amorphous carbon (a‐C) thin films have received relatively little attention. The …

Recently, non-volatile resistance switching or memristor (equivalently, atomristor in atomic
layers) effect was discovered in transitional metal dichalcogenides (TMD) vertical devices …

Because conventional nonvolatile memory is limited by process technology and physical
size, resistive random access memory (RRAM) gradually enters the field of view due to its …

Graphene and related materials (GRMs) are promising candidates for the fabrication of
resistive random access memories (RRAMs). Here, this emerging field is analyzed …

Resistive random access memory would be an important component of microelectronics in
the era of big data storage due to its efficient characteristics such as low cost, fast operating …

We present a quantitatively accurate machine-learning (ML) model for the computational
prediction of core–electron binding energies, from which X-ray photoelectron spectroscopy …

An important yet challenging aspect of atomistic materials modeling is reconciling
experimental and computational results. Conventional approaches involve generating …