Volume 1 Issue 2, February 2018

Isolators with superior performance to existing devices can be designed by combining nonlinear resonators.

Giant magnetoresistive devices fabricated on flexible substrates can detect the direction of strain in a material.

The stacking of different two-dimensional materials can be used to create memristors with high thermal stability.

Neuromorphic computing based on fully memristive neural networks could offer a scalable and lower-cost alternative to existing neural spiking chips based solely on CMOS technology.

This Review Article examines the development of functional untethered soft robotics, evaluating recent advances in soft robotic actuation, sensing, and integration in relation to untethered systems.

Passive isolators that offer unitary transmission, infinite isolation and large non-reciprocal intensity range can be created by combining Fano and Lorentzian nonlinear resonators, separated by suitably designed delay lines.

The generation of a spin current by the anomalous Hall effect is observed by measuring the modulation in the ferromagnetic resonance linewidth of CoFeB/Cu/NiFe trilayer films.

The direction of strain in a material can be detected using flexible giant magnetoresistive devices that consist of a strain-sensitive free layer and a strain-insensitive pinned layer.

Memristors that offer good thermal stability, which is lacking in traditional memristors, can be created from a van der Waals heterostructure composed of graphene/MoS_2–xO _x /graphene.

Leaky integrate-and-fire artificial neurons based on diffusive memristors enable unsupervised weight updates of drift-memristor synapses in an integrated convolutional neural network capable of pattern recognition.

Electronic devices today are untethered and always connected, and wireless networks have enabled this free flow of information. John O’Sullivan details the developments leading up to the establishment of the wireless network standard 802.11a, which is more commonly known as Wi-Fi.