Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …

Kelvin probe force microscopy (KPFM) is a tool that enables nanometer-scale imaging of the
surface potential on a broad range of materials. KPFM measurements require an …

Continued reduction in transistor size can improve the performance of silicon integrated
circuits (ICs). However, as Moore's law approaches physical limits, high‐performance …

Graphene, a single layer of carbon atoms in a honeycomb lattice, offers a number of
fundamentally superior qualities that make it a promising material for a wide range of …

The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Transition‐metal dichalcogenides (TMDCs) are an important class of two‐dimensional (2D)
layered materials for electronic and optoelectronic applications, due to their ultimate body …

Deep learning has become ubiquitous, touching daily lives across the globe. Today,
traditional computer architectures are stressed to their limits in efficiently executing the …

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

As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …

The increasing power consumption in the existing computation architecture presents grand
challenges for the performance and reliability of very‐large‐scale integrated circuits …