Unsustainable fossil fuel energy usage and its environmental impacts are the most
significant scientific challenges in the scientific community. Two-dimensional (2D) materials …

Self-rectifying memristor with integrated excellent bio-synaptic behaviors are great potential
to realize high-density memristor neuromorphic networks with self-inhibition of stealth …

The ability of ferroelectric memristors to modulate conductance and offer multilevel storage
has garnered significant attention in the realm of artificial synapses. On one hand, the …

Drawing on the function of biological synapses, the development of electronic synaptic
devices aims to achieve a neuromorphic computing system with high performance and low …

The conventional von Neumann architecture has proven to be inadequate in keeping up
with the rapid progress in artificial intelligence. Memristors have become the favored devices …

Abstract Two-dimensional (2D) materials play a crucial role as fundamental electrical
components in modern electronics and optoelectronics next-generation artificial intelligent …

Recently, memristors have garnered widespread attention as neuromorphic devices that can
simulate synaptic behavior, holding promise for future commercial applications in …

Redox-based oxide resistive random-access memories (ReRAM) are being pursued as
adjustable electronic devices for integrated network applications such as neuromorphic …

Multiferroic materials have important research significance in the fields of magnetic random-
access memory, ferroelectric random-access memory, resistive random-access memory …

Due to the heat generation during operations in high-density three-dimensional (3D)
integrated chips, a high-temperature tolerant and high-performance self-rectifying memristor …