Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

This manuscript serves a specific purpose: to give readers from fields such as material
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …

Aside from some living tissues, few materials can autonomously learn to exhibit desired
behaviors as a consequence of prolonged exposure to unanticipated ambient loading …

Demand for lightweight and efficient electromagnetic wave (EW) absorbers continues to
increase with technological advances in highly integrated electronics and military …

Electrolyte-gated transistors can function as switching elements, artificial synapses and
memristive systems, and could be used to create compact and powerful neuromorphic …

Non‐von‐Neumann computing using neuromorphic systems based on two‐terminal
resistive nonvolatile memory elements has emerged as a promising approach, but its full …

The oxygen evolution reaction (OER) is a crucial process in electrochemical water splitting,
a promising technology to renewably yield hydrogen gas from water. Designing and …

Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …

The growth of machine learning, combined with the approaching limits of conventional
digital computing, are driving a search for alternative and complementary forms of …

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 …