Cyclic olefin copolymers (COC) are amorphous, transparent thermoplastics composed of
cyclic olefin monomers (norbornene) and linear olefins (ethene). They are increasingly …

As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …

This paper builds on the context and recent progress on the control, reproducibility, and
limitations of using graphene and graphene-related materials (GRMs) in biomedical …

Multi-valued logic (MVL) is considered as a key enabler for next-generation and high-
information-density digital electronics. While the conventional approaches to MVL systems …

Biological brains perform real‐time processing of unstructured data with ultralow energy
consumption and represent the most efficient computing systems. Emulating the working …

The human brain is the most efficient computational and intelligent system, and researchers
are trying to mimic the human brain using solid-state materials. However, the use of solid …

Resistive random access memory is very well known for its potential application in in-
memory and neural computing. However, they often have different types of device-to-device …

Recently, phase change chalcogenides, such as monochalcogenides, are reported as
switching materials for conduction‐bridge‐based memristors. However, the switching …

With the development of the Internet of things, artificial intelligence, and wearable devices,
massive amounts of data are generated and need to be processed. High standards are …

The asymmetric resistive memory device can be more suitable to reduce the crosstalk effect
in a crossbar array. Similarly, this work focused on the material and design concept to …