The emerging nonvolatile memory technologies based on ferroic materials are promising for
producing high‐speed, low‐power, and high‐density memory in the field of integrated …

The rapid development in information technologies necessitates rapid advancements of
their supporting hardware. In particular, new computing paradigms are needed to overcome …

Emerging reconfigurable devices are fast gaining popularity in the search for next-
generation computing hardware, while ferroelectric engineering of the doping state in …

With the development of information processing, various neuromorphic synaptic devices
have been proposed, including novel devices mimicking multiple sensory systems in the …

Photoelectric synaptic devices with optical sensing capability are of great importance in
simulating human vision systems. Especially realizing all‐in‐one vision neuristor on silicon …

Memristor-based neuromorphic computing is beneficial for artificial intelligence to process
external information autonomously with high speed and high efficiency. Two-dimensional …

As global data generation continues to rise, there is an increasing demand for revolutionary
in-memory computing methodologies and efficient machine learning solutions. Despite …

Hexagonal boron nitride (h-BN) is a well-known layered van der Waals (vdW) material that
exhibits no spontaneous electric polarization due to its centrosymmetric structure. Extensive …

Ferroelectric materials with electrically switchable spontaneous polarization are
technologically important for developing next-generation low-power nanoelectronics and …

Ultralow dimensionality of 2D layers magnifies their sensitivity to adjacent charges enabling
even postprocessing electric control of multifunctional structures. However, functionalizing …