Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

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 …

Emerging memories have been developed as new physical infrastructures for hosting neural
networks owing to their low-power analog computing characteristics. However, accurately …

Most nonferroelectric two-dimensional materials can be endowed with so-called sliding
ferroelectricity via nonequivalent homobilayer stacking, which is not applicable to …

Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …

Two-dimensional (2D) transition metal dichalcogenides (TMDs) with layered crystal
structures have been attracting enormous research interest for their atomic thickness …

We investigate whether large language models can perform the creative hypothesis
generation that human researchers regularly do. While the error rate is high, generative AI …

Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …

In the era of information, characterized by an exponential growth in data volume and an
escalating level of data abstraction, there has been a substantial focus on brain‐like chips …

In-memory computing represents an effective method for modeling complex physical
systems that are typically challenging for conventional computing architectures but has been …