Neuromorphic computing requires electronic systems that can perform massively parallel
computational tasks with low energy consumption. Such systems have traditionally been …

The fields of brain‐inspired computing, robotics, and, more broadly, artificial intelligence (AI)
seek to implement knowledge gleaned from the natural world into human‐designed …

Many functional materials are approaching their performance limits due to inherent trade‐
offs between essential physical properties. Such trade‐offs can be overcome by engineering …

Neuromorphic computing and artificial intelligence hardware generally aims to emulate
features found in biological neural circuit components and to enable the development of …

Solid-state devices made from correlated oxides, such as perovskite nickelates, are
promising for neuromorphic computing by mimicking biological synaptic function. However …

Hydrogen-associated electron-do** Mottronics for d-band correlated oxides (eg, VO2)
opens up a new paradigm to regulate the electronic functionality via directly manipulating …

Neuromorphic computing—which aims to mimic the collective and emergent behavior of the
brain's neurons, synapses, axons, and dendrites—offers an intriguing, potentially disruptive …

Metal oxides with surface protonation exhibit versatile physical and chemical properties
suitable for use in many fields. Here, we develop an electrochemical route to directly …

Flexible and wearable electrochemical biosensors are considered a non-invasive tool for
monitoring biological substances, thus attracting attention due to the simple assembly, fast …

Rare-earth nickelates feature an insulator-to-metal transition (IMT) that can be electrically
triggered. We study the dynamics of this electrically induced transition by comparing the time …