Ferroelectric materials, the charge equivalent of magnets, have been the subject of
continued research interest since their discovery more than 100 years ago. The …

Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

The growing computational demand in artificial intelligence calls for hardware solutions that
are capable of in situ machine learning, where both training and inference are performed by …

Over the last few decades, the research on ferroelectric memories has been limited due to
their dimensional scalability and incompatibility with complementary metal‐oxide …

With the development of wearable devices and hafnium-based ferroelectrics (FE), there is
an increasing demand for high-performance flexible ferroelectric memories. However …

The critical size limit of voltage-switchable electric dipoles has extensive implications for
energy-efficient electronics, underlying the importance of ferroelectric order stabilized at …

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

The artificial nervous system proves the great potential for the emulation of complex neural
signal transduction. However, a more bionic system design for bio‐signal transduction still …

Traditional von Neumann computing architecture with separated computation and storage
units has already impeded the data processing performance and energy efficiency, calling …

Among today's nonvolatile memories, ferroelectric-based capacitors, tunnel junctions and
field-effect transistors (FET) are already industrially integrated and/or intensively …