Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …

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) …

The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …

Living organisms have a very mysterious and powerful sensory computing system based on
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …

Hardware implementation tailored to requirements in reservoir computing would facilitate
lightweight and powerful temporal processing. Capacitive reservoirs would boost power …

Nonlinear dynamical systems serving reservoir computing enrich the physical
implementation of computing systems. A method for building physical reservoirs from …

Magnons are elementary excitations in magnetic materials and undergo nonlinear
multimode scattering processes at large input powers. In experiments and simulations, we …

Physical reservoir computing is a form of neuromorphic computing that harvests the dynamic
properties of materials for high-efficiency computing. A wide range of physical systems can …

Molecule-based reservoir computing (RC) is promising for achieving low power
consumption neuromorphic computing, although the information-processing capability of …

Natural disasters are reported globally, and one source of severe damage to cities is
flooding caused by locally heavy rain. Sharing of local weather information can save lives …