With the advent of the big data era and the Internet of Things, promising hardware
techniques for data storage and energy-efficient data processing are in great demand. This …

Single-molecule non-volatile memories can be designed as high-density memories and
memristors. The latter, enabling real-time data processing by performing computations …

Hysteresis observed in the current-voltage curves of both electronic and ionic devices is a
phenomenon where the curve's shape is altered on the basis of the measurement speed …

The ever‐increasing demand for data storage and neuromorphic computing calls for
innovative, high‐density solutions, such as resistive random‐access memory (RRAM) …

Light‐fueled dissipative self‐assembly possesses enormous potential in the field of optical
information due to controllable time‐dependent optical signals, but remains a great …

We report a chemically programmed design and the switching characteristics of a functional
metal–DNA-origami–polyoxometalate (POM) material obtained from the solution-processed …

Voltage-gated processing units are fundamental components for non-von Neumann
architectures like memristor and electric synapses, on which nanoscale molecular …

Functionally diverse devices with artificial neuron and synapse properties are critical for
neuromorphic systems. We present a two-terminal artificial leaky-integrate-fire (LIF) neuron …

Memristive neuromorphic networks have great potential and advantage in both technology
and computational protocols for artificial intelligence. Efficient hardware design of biological …

The molecular electronic devices based on self-assembled monolayer (SAM) on metal
surfaces demonstrate novel electronic functions for device minimization yet are unable to …