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 …

Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …

Silicon photonics is evolving from laboratory research to real-world applications with the
potential to transform many technologies, including optical neural networks and quantum …

By integrating sensing, memory and processing functionalities, biological nervous systems
are energy and area efficient. Emulating such capabilities in artificial systems is, however …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Computer simulations can play a central role in the understanding of phase-change
materials and the development of advanced memory technologies. However, direct quantum …

As a key structural parameter, phase depicts the arrangement of atoms in materials.
Normally, a nanomaterial exists in its thermodynamically stable crystal phase. With the …

Neuromorphic computing targets the hardware embodiment of neural network, and device
implementation of individual neuron and synapse has attracted considerable attention. The …

Solid‐state lithium batteries are promising and safe energy storage devices for mobile
electronics and electric vehicles. In this work, we report a facile in situ polymerization of 1, 3 …

Polymer-based atomic switch memristors via the formation/dissolution of atomic-scale
conductive filaments are considered as the leading candidate for next-generation …