Ferroelectric materials play an important role in a wide spectrum of semiconductor
technologies and device applications. Two-dimensional (2D) van der Waals (vdW) …

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 …

The co-integration of logic switches and neuromorphic functions could be used to create
new computing architectures with low power consumption and novel functionalities. Two …

The memristor is a resistive switch where its resistive state is programable based on the
applied voltage or current. Memristive devices are thus capable of storing and computing …

Two-dimensional materials (2DMs) have attracted tremendous research interest over the
last two decades. Their unique optical, electronic, thermal, and mechanical properties make …

Reward‐modulated spike‐timing‐dependent plasticity (R‐STDP) is a brain‐inspired
reinforcement learning (RL) rule, exhibiting potential for decision‐making tasks and artificial …

Neuromorphic computing systems can perform memory and computing tasks in parallel on
artificial synaptic devices through simulating synaptic functions, which is promising for …

Spiking neural networks (SNNs) are biologically plausible and computationally powerful.
The current computing systems based on the von Neumann architecture are almost the …

Ferroelectric materials have shown great value in the modern semiconductor industry and
are considered important function materials due to their high dielectric constant and tunable …

On the basis of recent research, brain-inspired parallel computing is considered as one of
the most promising technologies for efficiently handling large amounts of informational data …