Orientation of graphene nanosheets in magnetic fields

Ghai, Viney; Pashazadeh, Sajjad; Ruan, Hengzhi; Kádár, Roland

doi:10.1016/j.pmatsci.2024.101251

Cited by 3 publications

References 112 publications

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Achieving Long‐Range Arbitrary Uniform Alignment of Nanostructures in Magnetic Fields

Ghai,

Pandit,

Svensso

et al. 2024

Adv Funct Materials

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For magnetic field orientation of nonstructures to become a viable method to create high performance multifunctional nanocomposites, it is of paramount importance to develop a method that is easy to implement and that can induce long‐range uniform nanostructural alignment. To overcome this challenge, inspired by low field nuclear magnetic resonance (NMR) technology, a highly uniform, high field strength, and compact magnetic‐field nanostructure orientation methodology is presented for polymeric nanocomposites using a Halbach array, for the first time. Potential new advances are showcased for applications of graphene polymer composites by considering their electro‐thermal and antibacterial properties in highly oriented orthogonal morphologies. The high level of anisotropy induced in the graphene nanocomposites studied stands out through: 1) up to four decades higher electrical conductivities recorded in comparison to their randomly oriented counterparts, at concentrations where the latter show minimal improvements compared to the unfilled polymer; 2) over 1200% improvement in thermal conductivity, 3) antibacterial surfaces at field benchmark levels with lower filler content and with the added versatility of arbitrary orientation of the nanofillers. Overall, the new method and variations thereof can open up new horizons for tailoring nanostructure and performance for virtually all major nanocomposite applications based on graphene and other types of fillers.

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Achieving Long‐Range Arbitrary Uniform Alignment of Nanostructures in Magnetic Fields

Ghai,

Pandit,

Svensso

et al. 2024

Adv Funct Materials

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Halbach Array Induced Magnetic Field Alignment in Boron Nitride Nanocomposites

Ghai,

Mishra,

Huang

et al. 2024

Advanced Science

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Thermal conductivity enhancement in polymers is vital for advanced applications. This study introduces a novel method to align hexagonal boron nitride (hBN) nanosheets within polydimethylsiloxane (PDMS) matrices using a Halbach array to create a highly uniform magnetic field. This technique achieves significant improvements in thermal conductivity by effectively aligning hBN nanosheets. This research shows that hBN nanosheets, when aligned, can drastically enhance thermal conductivity in PDMS composites. Specifically, 10 wt.% vertically aligned hBN nanosheets in a rotating magnetic field achieve a thermal conductivity of 3.58 W mK−1, an impressive 1950% increase over pure PDMS. Additionally, the study explores the effects of orientation on dielectric properties, finding that the orientation of hBN nanosheets also improves electrical insulation and increases the dielectric constant while maintaining extremely low dielectric losses. For a vertically oriented sample, the dielectric constant reaches ≈14, and dielectric losses are as low as 0.0049 at 100 Hz, highlighting their potential for energy storage capacitors. This approach not only enhances thermal management but also maintains or improves electrical insulation, offering promising advances for polymer composites in various technological applications.

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High Thermal Conductivity Graphene-Based Interfacial Materials Through Oriented Assembly and Catalytic Graphitization for Thermal Management

Li,

Liu,

et al. 2024

Preprint

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Orientation of graphene nanosheets in magnetic fields

Cited by 3 publications

References 112 publications

Achieving Long‐Range Arbitrary Uniform Alignment of Nanostructures in Magnetic Fields

Achieving Long‐Range Arbitrary Uniform Alignment of Nanostructures in Magnetic Fields

Halbach Array Induced Magnetic Field Alignment in Boron Nitride Nanocomposites

High Thermal Conductivity Graphene-Based Interfacial Materials Through Oriented Assembly and Catalytic Graphitization for Thermal Management

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