Functional and low-cost switching materials are necessary to sustain the development of
data storage and brain-inspired computing technologies. Polypyrrole (PPy) is one of the …

Artificial synapses with synaptic plasticity that mimic the bio-synaptic function are the main
components of the neuromorphic computing system. In this study, we fabricated a memristor …

Polymer memristors are preeminent candidates for low-power edge computing paradigms.
Poly [chalcogenoviologen-alt-triphenylamine](PCVTPA) has been synthesized by direct …

Abstract The traditional Von Neumann architecture‐based computers are considered to be
inadequate in the coming artificial intelligence era due to increasing computation complexity …

Von Neumann computing-based memory has reached its limit, it is incapable of performing
two tasks simultaneously, ie data storage and computation. Artificial neuromorphic …

The resistive random-access memory (ReRAM) is an emerging field with great
advancements in device performance, fabrication, and application. But its prospects are still …

Synapses and neurons in artificial intelligence are acknowledged as pivotal elements in
constructing neuromorphic computing systems. Specifically, organic material-based …

Organic synaptic memristors are of considerable interest owing to their attractive
characteristics and potential applications to flexible neuromorphic electronics. In this work …

Benefiting from powerful logic‐computing, higher packaging density, and extremely low
electricity consumption, memristors are regarded as the most promising next‐generation of …

Cost-effectiveness, easy scalability and a simple fabrication process make the organic
molecule-based resistive memory a very promising technology for new-generation data …