The use of electrolyte gating to electrically control electronic, magnetic and optical properties
of materials has seen strong recent growth, driven by the potential of the many devices and …

Intelligent microwave absorption (MA) materials possess the ability to dynamically change
their microwave absorption performance, according to real‐time requirements, and it is of …

To achieve efficient electromagnetic wave absorption (EWA) performance with requirements
of low density and thin thickness, three-dimensional (3D) hierarchical CNTs/VO 2 composite …

The rapid development of smart wearable and integrated electronic products has urgently
increased the requirement for high‐performance microbatteries. Although few lithium ion …

Non-von Neumann computing using neuromorphic systems based on analogue synaptic
and neuronal elements has emerged as a potential solution to tackle the growing need for …

Reservoir computing (RC) is a machine learning framework suitable for processing time
series data, and is a computationally inexpensive and fast learning model. A physical …

The precise mechanism governing the reversible semiconductor‐to‐metal transition (SMT)
in V2O5 remains elusive, yet its investigation is of paramount importance due to the …

Herein, physical reservoir computing with a redox‐based ion‐gating reservoir (redox‐IGR)
comprising LixWO3 thin film and lithium‐ion conducting glass ceramic (LICGC) is …

A fundamental understanding of metal active sites in single‐atom catalysts (SACs) is
important and challenging in the development of high‐performance catalyst systems. Here …

Nanoparticle (NP) exsolution from perovskite-based oxides matrix upon reduction has
emerged as an ideal platform for designing highly active catalysts for energy and …