Despite technical efforts and upgrades, advances in complementary metal–oxide–
semiconductor circuits have become unsustainable in the face of inherent silicon limits. New …

Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

Abstract Two-dimensional (2D) materials could potentially be used to develop advanced
monolithic integrated circuits. However, despite impressive demonstrations of single devices …

Memristor crossbar with programmable conductance could overcome the energy
consumption and speed limitations of neural networks when executing core computing tasks …

Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …

Two-dimensional materials (2DMs) have attracted a great deal of interest due to their
immense potential for scientific breakthroughs and technological innovations. While some …

Due to the increasing importance of artificial intelligence (AI), significant recent effort has
been devoted to the development of neuromorphic circuits that seek to emulate the energy …

Abstract 2D transition metal chalcogenide (TMDC) materials, such as MoS2, have recently
attracted considerable research interest in the context of their use in ultrascaled devices …

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 …

Data-driven algorithms—such as signal processing and artificial neural networks—are
required to process and extract meaningful information from the massive amounts of data …