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 …
H Jiang, L Cai, F Pan, Y Shi, J Cheng… - Advanced …, 2023 - Wiley Online Library
Demand for lightweight and efficient electromagnetic wave (EW) absorbers continues to increase with technological advances in highly integrated electronics and military …
X Liang, Y Luo, Y Pei, M Wang, C Liu - Nature Electronics, 2022 - nature.com
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 …
YJ Lee, Y Kim, H Gim, K Hong, HW Jang - Advanced Materials, 2024 - Wiley Online Library
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 …
HT Zhang, T Zhang, X Zhang - Advanced Science, 2023 - Wiley Online Library
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 …