With the advent of the Internet of Things and big data, massive data must be rapidly
processed and stored within a short timeframe. This imposes stringent requirements on …

Memory technologies and applications implemented fully or partially using emerging 2D
materials have attracted increasing interest in the research community in recent years. Their …

Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …

It is predicted that the conventional von Neumann computing architecture cannot meet the
demands of future data‐intensive computing applications due to the bottleneck between the …

As existing silicon-based memory technologies are reaching their fundamental limit,
emerging memory alternatives, such as resistive random-access memories (RRAMs) …

The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

Conventional computing based on von Neumann architecture cannot satisfy the demands of
artificial intelligence (AI) applications anymore. Neuromorphic computing, emulating …

Two-dimensional (2D) materials have attracted enormous research interest due to their
predominant quantum effects and fascinating materials properties, which potentially lead to …

As an approximation to the quantum state of solids, the band theory, developed nearly
seven decades ago, fostered the advance of modern integrated solid‐state electronics, one …

Since Moore's law in the traditional semiconductor industry is facing shocks, More Moore
and More than Moore are proposed as two paths to maintain the development of the …