Ohmic, memristive synaptic weights are fabricated with a back‐end‐of‐line compatible
process, based on a 3.5 nm HfZrO4 thin film crystallized in the ferroelectric phase at only …

Mimicking biological synapses with microelectronic devices is widely considered as the first
step in hardware building artificial neuromorphic networks, which is also the basis of brain …

Neuromorphic computing, that is expected to be implemented with emerging synaptic
devices, may overcome the inherent efficiency bottleneck in conventional digital computers …

Recently, neuromorphic computing has been proposed to overcome the drawbacks of the
current von Neumann computing architecture. Especially, spiking neural network (SNN) has …

Increasing demands for new computing systems to fulfill enormous information processing
have driven the development of brain-inspired neuromorphic systems that can perform fast …

Neuromorphic computing inspired by memristors has gained considerable attention due to
its low power and easy integration. However, state‐of‐the‐art two‐terminal resistive …

With the advent of post-Moore era, the development of memory devices based on bulk
materials gradually entered the bottleneck period. Two-dimensional (2D) materials have …

Neuromorphic computing is of great interest among researchers interested in overcoming
the von Neumann computing bottleneck. A synaptic device, one of the key components to …

Li+ electrolyte‐gated transistors (EGTs) have received much attention as artificial synapses
for neuromorphic computing. EGTs, however, have been still challenging to achieve long …

Brain-inspired neuromorphic computing and portable intelligent electronic products have
received increasing attention. In the present work, nanocellulose-gated indium tin oxide …