Introducing a segregated network constructed through the selective localization of small amounts of fillers can be a solution to overcome the limitations of the practical use of graphene-based conductive composites due to the high cost of fillers. In this study, polypropylene composites filled with randomly dispersed GNPs and a segregated GNP network were prepared, and their conductive properties were investigated according to the formation of the segregated structure. Due to the GNP clusters induced by the segregated structure, the electrical percolation threshold was 2.9 wt% lower than that of the composite incorporating randomly dispersed GNPs. The fully interconnected GNP cluster network inside the composite contributed to achieving the thermal conductivity of 4.05 W/m∙K at 10 wt% filler content. Therefore, the introduction of a segregated filler network was suitable to simultaneously achieve excellent electrical and thermal conductivities at a low content of GNPs.
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http://dx.doi.org/10.3390/ma16155329 | DOI Listing |
Natl Sci Rev
January 2025
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
The high thermopower of ionic thermoelectric (-TE) materials holds promise for miniaturized waste-heat recovery devices and thermal sensors. However, progress is hampered by laborious trial-and-error experimentations, which lack theoretical underpinning. Herein, by introducing the simplified molecular-input line-entry system, we have addressed the challenge posed by the inconsistency of -TE material types, and present a machine learning model that evaluates the Seebeck coefficient with an of 0.
View Article and Find Full Text PDFSmall Methods
January 2025
Wide-bandgap semiconductors (WBGS) with energy bandgaps larger than 3.4 eV for GaN and 3.2 eV for SiC have gained attention for their superior electrical and thermal properties, which enable high-power, high-frequency, and harsh-environment devices beyond the capabilities of conventional semiconductors.
View Article and Find Full Text PDFAdv Mater
January 2025
State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, China.
An elastocaloric thermal battery based on generative learning-designed phase-change alloys is developed to facilitate the efficient recycling of low-temperature waste heat. This battery stores thermal energy as latent heat in a phase-change alloy and releases it on demand through applied stress at ambient temperature. Alloy compositions and corresponding processing parameters, tailored to desired transformation characteristics, are efficiently discovered through a generative learning-enabled inverse design framework, which converts the hand-drawn target heat flow curve into tangible compositional and processing designs.
View Article and Find Full Text PDFEnviron Technol
January 2025
Solid-State Physics and Accelerators Department, National Centre for Radiation Research and Technology (NCRRT), Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt.
Waste polyethylene (WPE) and virgin polyethylene (VPE) (50:50) thermoplastic have been melt-mixed with biochar (BC) made from orange peels at ratios of 5, 10, and 15(Phr) to evaluate how the filler content affected the mechanical, thermal, optical, electrical conductivity, and electromagnetic interference (EMI). γ-rays was applied to the prepared specimens to assess how radiation affected the created biocomposites. From the obtained results, the combination of BC with γ-rays, at doses of up to 100 kGy, with thermoplastic resulted in an enhanced mechanical property, particularly for composites containing 15 Phr of BC added because of its unique structure and excellent dispersion.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Physics, Indian Institute of Technology Indore, Simrol 453552, India.
Electronic devices cover a large subset of daily life gadgets which use power to run, hence increasing the load of the energy needs and indirectly impacting greenhouse gas emissions. Smart electrochromic windows provide a solution to this through remarkable energy saving by adjusting optical behavior depending on the environmental conditions. Since the electrochromic windows also need power to run, a self-powered electrochromic panel will be a better solution.
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