The rapid development of neuromorphic computing has led to widespread investigation of
artificial synapses. These synapses can perform parallel in-memory computing functions …

Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …

Field-effect transistors (FETs) based on two-dimensional materials (2DMs) with atomically
thin channels have emerged as a promising platform for beyond-silicon electronics …

Memristor holds great potential for enabling next-generation neuromorphic computing
hardware. Controlling the interfacial characteristics of the device is critical for seamlessly …

Two-dimensional (2D) materials hold significant potential for the development of
neuromorphic computing architectures owing to their exceptional electrical tunability …

Systematic molecular dynamics simulations were conducted to investigate deformation
mechanisms in molybdenum (Mo) nanowires (NWs) under uniaxial tensile and compressive …

Perovskites possessing lead have gained immense consideration recently owing to their
unique optoelectronic properties. Thus, they are considered highly suitable materials for …

The scalability of two-dimensional (2D) materials down to a single monolayer offers exciting
prospects for high-speed, energy-efficient, scalable memristors. This review highlights the …

Using van der Waals heterostructures (VDWHs) to engineer novel electronic properties of
two-dimensional (2D) material systems has proven to be a viable strategy in recent years …

The layer stacking order in two-dimensional heterostructures, like graphene, affects their
physical properties and potential applications. Trilayer graphene, specifically ABC-trilayer …