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Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

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Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices

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Graphene-based solitons for spatial division multiplexed switching.

Jonathan K George, Volker J Sorger

|February 16, 2017

Summary

This summary is machine-generated.

Spatial solitons in graphene enable phase-based multiplexing by using light

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Area of Science:

Optics and Photonics
Materials Science
Nanotechnology

Background:

Spatial division multiplexing (SDM) separates optical signals using light's directionality.
Graphene's unique optical properties offer potential for advanced photonic devices.

Purpose of the Study:

To demonstrate phase-based multiplexing using orthogonal spatial solitons in a graphene monolayer.
To enhance the density of states (DOS) for optical switching systems.
To investigate the mutual disturbance between solitons for independent k-vector switching.

Main Methods:

Utilizing the self-confinement properties of spatial solitons.
Analyzing the anisotropy of orthogonal solitons in graphene.
Measuring the mutual disturbance between crossing solitons.

Main Results:

Anisotropy of orthogonal spatial solitons in graphene enables phase-based multiplexing.
Self-confinement of solitons increases the usable density of states (DOS).
Low mutual disturbance (0.035 dB) between crossing solitons allows independent k-vector switching.

Conclusions:

Graphene-based spatial solitons offer efficient multiplexing and increased DOS for optical switching.
This approach enables data processing parallelism for optical networking and computing.
Demonstrates a novel method for independent k-vector switching with minimal signal interference.