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Related Concept Videos

Network Covalent Solids02:18

Network Covalent Solids

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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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Synthesis of Single-Crystalline Core-Shell Metal-Organic Frameworks
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Network-Structured BST/MBO Composites Made from Core-Shell-Structured Granulates.

Kevin Häuser1, Zhiren Zhou1, Prannoy Agrawal2

  • 1IAM-ESS, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.

Materials (Basel, Switzerland)
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

A new simulation method accurately predicts composite material tunability. Network-structured composites show higher tunability than other models, verified experimentally for radio frequency applications.

Keywords:
FEMceramic compositedielectric behaviortunability

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Computational Modeling

Background:

  • Predicting tunability in composite materials is crucial for developing advanced electronic components.
  • Existing models often lack the accuracy to capture complex microstructures like network-structured composites.
  • The dielectric properties of composites are highly dependent on their structural arrangement.

Purpose of the Study:

  • To develop and validate a finite element method (FEM)-based simulation approach for predicting composite material tunability.
  • To investigate the tunability of network-structured composites with clustered dielectric phases.
  • To experimentally verify simulation predictions using a specific barium strontium titanate/magnesium borate composite.

Main Methods:

  • Developed a FEM-based simulation model to predict tunability.
  • Simulated a reciprocal core-shell unit cell for network-structured composites.
  • Experimentally fabricated and tested Ba0.6Sr0.4TiO3/Mg3B2O6 (BST/MBO) composite samples with core-shell structures.

Main Results:

  • The FEM simulation demonstrated good prediction capabilities against analytical data.
  • The network-structured composite model exhibited higher tunability than layered, columnar, and particulate models.
  • Experimentally, structured BST/MBO composites showed enhanced tunability and dielectric loss compared to unstructured samples.
  • Structured samples achieved superior tunability to loss ratios.

Conclusions:

  • The developed FEM simulation is a reliable tool for predicting composite material tunability.
  • Network-structured composites offer significant advantages in tunability for radio frequency applications.
  • The experimental validation confirms the potential of these structured composites for high-performance, low-loss electronic devices.