Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

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

Although 2D materials are widely explored for data storage and neuromorphic computing,
the construction of 2D material‐based memory devices with optoelectronic responsivity in …

Non-volatile memory devices, which offer large capacity and mechanical dependability as a
mainstream technology, have played a key role in fostering innovation in modern …

Brain-inspired neuromorphic computing, featured by parallel computing, is considered as
one of the most energy-efficient and time-saving architectures for massive data computing …

The growing importance of applications based on machine learning is driving the need to
develop dedicated, energy-efficient electronic hardware. Compared with von Neumann …

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 …

The development of high-performance memory devices has played a key role in the
innovation of modern electronics. Non-volatile memory devices have manifested high …

Flexible, stretchable, and bendable materials, including inorganic semiconductors, organic
polymers, graphene, and transition metal dichalcogenides (TMDs), are attracting great …

Two-dimensional (2D) materials have attracted tremendous research interest since the
breakthrough of graphene. Their unique optical, electronic, and mechanical properties hold …