Nanowire-based technological advancements thrive in various fields, including energy
generation and storage, sensors, and electronics. Among the identified nanowires, silicon …

An electronic skin (e-skin) for the next generation of robots is expected to have biological
skin-like multimodal sensing, signal encoding, and preprocessing. To this end, it is …

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

Currently, electronics and iontronics in abiotic-biotic systems can only use electrons and
single-species ions as unitary signal carriers. Thus, a mechanism of gating transmission for …

The development of artificial visual systems that mimic biological systems requires devices
that can autonomously adapt their response to varying stimuli. However, emulating …

Neuromorphic technologies typically employ a point neuron model, neglecting the
spatiotemporal nature of neuronal computation. Dendritic morphology and synaptic …

Brain‐inspired neuromorphic computing is a new paradigm that holds great potential to
overcome the intrinsic energy and speed issues of traditional von Neumann based …

Inorganic semiconductors typically have limited p-type behavior due to the scarcity of holes
and the localized valence band maximum, hindering the progress of complementary devices …

Neuromorphic machines are intriguing for building energy-efficient intelligent systems,
where spiking neurons are pivotal components. Recently, memristive neurons with …