Crystalline - Nanotechnology

What is Crystallinity in Nanotechnology?

In the field of nanotechnology, crystallinity refers to the degree of structural order in a solid. A crystal is a solid material whose atoms, molecules, or ions are arranged in an ordered pattern extending in all three spatial dimensions. The crystallinity of nanomaterials can significantly impact their mechanical, thermal, and electrical properties.

How is Crystallinity Measured?

The crystallinity of nanomaterials is commonly measured using techniques like X-ray diffraction (XRD), Transmission Electron Microscopy (TEM), and Atomic Force Microscopy (AFM). XRD is often used to determine the crystalline structure and phase composition. TEM provides high-resolution images of the crystal lattice, while AFM gives topographical information at the nanoscale.

Why is Crystallinity Important?

Crystallinity plays a crucial role in determining the physical properties of nanomaterials. For instance, high crystallinity often results in improved mechanical strength and thermal stability. Conversely, low crystallinity can lead to enhanced flexibility and ductility. Understanding and controlling crystallinity is essential for the design and application of nanomaterials in various fields, such as electronics, biomedicine, and energy storage.

Applications of Crystalline Nanomaterials

Crystalline nanomaterials have a wide range of applications. In electronics, they are used in the production of semiconductors and transistors. In biomedicine, crystalline nanoparticles are employed for drug delivery and imaging. Additionally, they play a crucial role in catalysis and photovoltaics, where high crystallinity can significantly enhance efficiency and performance.

Challenges and Future Directions

Despite their advantages, crystalline nanomaterials pose several challenges. Synthesizing nanomaterials with controlled crystallinity can be difficult and often requires precise conditions and techniques. Future research is focused on developing scalable and cost-effective methods for controlling crystallinity. Additionally, understanding the relationship between crystallinity and material properties at the nanoscale remains an area of active investigation.

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Generation of Functional Lentoid Bodies from Human-Induced Pluripotent Stem Cells.

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Electrically mediated self-assembly and manipulation of drops at an interface.

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Reviving Fatigue Surface for Solid-State Upcycling of Highly Degraded Polycrystalline LiNiCoMnO Cathodes.

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Insights into the LiMnO Cathode Stability in Aqueous Electrolytes.

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A Metatitanic Acid Particulate Xerogel: Green Synthesis, Structure Determination, and Detailed Characterization.

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Selective Xenon Recovery Using Aluminum-Based Metal-Organic Frameworks with Conserved Pore Topology.

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Elucidating the transport of water and ions in the nanochannel of covalent organic frameworks by molecular dynamics.

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Elastic moduli from crystalline micro-mechanical oscillators carved by focused ion beam.

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Biosynthesis of TiO nano particles by using Rosemary (Rosmarinus officinalis) leaf extracts and its application for crystal dye degradation under sunlight.

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Heterocycles as supramolecular handles for crystal engineering: a case study with 7-(diethylamino)coumarin derivatives.

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Formulation and Characterization of Silibinin Entrapped Nano-Liquid Crystals for Activity against Aβ Neurotoxicity in In-Vivo Model.

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Optimized Phase and Crystallinity of Cr(NCN) Dominating Electrochemical Lithium Storage Performance.

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Design and evaluation of fluorescent chitosan-starch hydrogel for drug delivery and sensing applications.

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Effect of calcination on minimally processed recycled zirconia powder derived from milling waste.

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Effect of food on oral pharmacokinetics of edaravone coamorphous dispersion containing bile salts as coformers- part II.

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Changes in the properties of the corn starch glycerol film in a time-dependent manner during gelatinization.

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A platform for planar dynamic compression of crystalline hydrogen toward the terapascal regime.

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Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics.

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Covalent Organic Frameworks for Electrocatalysis：Design, Applications, and Perspectives.

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Aluminosilicate colloidal gels: from the early age to the precipitation of zeolites.

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