Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …

Rationally designed architected materials have attained previously untapped territories in
materials property space. The properties and behaviours of architected materials need not …

Deep learning has become a widespread tool in both science and industry. However,
continued progress is hampered by the rapid growth in energy costs of ever-larger deep …

Silicon photonics has emerged as a mature technology that is expected to play a key role in
critical emerging applications, including very high data rate optical communications …

The commercial success of radio-frequency acoustic filters in wireless communication
systems has launched aluminum nitride (AlN) as one of the most widely used …

Phase transitions can occur in certain materials such as transition metal oxides (TMOs) and
chalcogenides when there is a change in external conditions such as temperature and …

In this review we present some of the recent advances in the field of silicon nitride photonic
integrated circuits. The review focuses on the material deposition techniques currently …

Progress in computing architectures is approaching a paradigm shift: traditional computing
based on digital complementary metal-oxide semiconductor technology is nearing physical …

The current–voltage curves of memristors exhibit significant hysteresis effects of use for
information storage and computing. Here, we provide a comparison of different devices …

Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-
inspired) photonics is attracting increasing interest, promising new, high-speed, and energy …