Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Electrochemical ion insertion involves coupled ion–electron transfer reactions, transport of
guest species and redox of the host. The hosts are typically anisotropic solids with 2D …

Recent progress in artificial intelligence is largely attributed to the rapid development of
machine learning, especially in the algorithm and neural network models. However, it is the …

Layered oxides widely used as lithium-ion battery electrodes are designed to be cycled
under conditions that avoid phase transitions. Although the desired single-phase …

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 …

The search for alternatives to traditional Li-ion batteries has sparked interest in the chemistry
and manufacturing of solid-state Li-ion conductors. Li-ion conductors are traditionally …

Memristors, or memristive devices, have attracted tremendous interest in neuromorphic
hardware implementation. However, the high electric-field dependence in conventional …

The microscopic theory of chemical reactions is based on transition state theory, where
atoms or ions transfer classically over an energy barrier, as electrons maintain their ground …

Li-ion battery electrodes exhibit a poorly understood resistance increase during high-rate
lithiation, which is rarely observed during delithiation. This hysteresis, often attributed to the …

Organic anodes have attracted increasing attention for alkali metal ion batteries. In this work,
we discovered that cyclized polyacrylonitrile (cPAN) can serve as an excellent anode for …