Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

Due to the voltage driven switching at low voltages combined with nonvolatility of the
achieved polarization state, ferroelectric materials have a unique potential for low power …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Ferroelectrics are a class of materials that possess a variety of interactions between
electrical, mechanical, and thermal properties that have enabled a wealth of functionalities …

Hexagonal boron nitride (h‐BN), an insulating 2D layered material, has recently attracted
tremendous interest motivated by the extraordinary properties it shows across the fields of …

Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …

Recent progress in artificial intelligence is largely attributed to the rapid development of
machine learning, especially in the algorithm and neural network models. However, it is the …

Recently, ferroelectric tunnel junctions (FTJs) have attracted considerable attention for
potential applications in next‐generation memories, owing to attractive advantages such as …

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

Ferroelectric tunnel junctions (FTJ) based on hafnium zirconium oxide (Hf1–x Zr x O2; HZO)
are a promising candidate for future applications, such as low-power memories and …