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The rapid heating of carbon-fiber-reinforced polymer matrix composites leads to complex thermophysical interactions which not only are dependent on the thermal properties of the constituents and microstructure but are also dependent on the thermal transport between the fiber and resin interfaces. Using atomistic molecular dynamics simulations, the thermal conductance across the interface between a carbon-fiber near-surface region and bismaleimide monomer matrix is calculated as a function of the interface and bulk features of the carbon fiber. The surface of the carbon fiber is modeled as sheets of graphitic carbon with (a) varying degrees of surface functionality, (b) varying defect concentrations in the surface-carbon model (pure graphitic vs partially graphitic), (c) varying orientation of graphitic carbon at the interface, (d) varying interface saturation (dangling vs saturated bonds), (e) varying degrees of surface roughness, and (f) incorporating high conductive fillers (carbon nanotubes) at the interface. After combining separately equilibrated matrix system and different surface-carbon models, thermal energy exchange is investigated in terms of interface thermal conductance across the carbon fiber and the matrix. It is observed that modifications in the studied parameters (a-f) often lead to significant modulation of thermal conductance across the interface and, thus, showcases the role of interface tailoring and surface-carbon morphology toward thermal energy exchange. More importantly, the results provide key bounds and a realistic degree of variation to the interface thermal conductance values at fiber/matrix interfaces as a function of different surface-carbon features.
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http://dx.doi.org/10.1021/acsami.5b08591 | DOI Listing |
Environ Sci Pollut Res Int
September 2025
School of Chemical Engineering, State University of Campinas-Universidade Estadual de Campinas, Albert Einstein Av., 500, Campinas, SP, 13083-852, Brazil.
Bisphenol A (BPA) is a persistent organic pollutant with toxic effects on human health and ecosystems. In this study, the performance of MWCNT-OH functionalized with iron nanoparticles (MWCNT-OH@Fe) using sugarcane bagasse extract as a reducing agent (green synthesis) was evaluated for BPA adsorption. The kinetics are fast, between 10 and 20 min in the range of concentrations evaluated and the resistance to external film diffusion (external film mass transfer) identified as the rate-limiting step of the process.
View Article and Find Full Text PDFAdv Mater
September 2025
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China.
Van der Waals (vdW) layered materials have gained significant attention owing to their distinctive structure and unique properties. The weak interlayer bonding in vdW layered materials enables guest atom intercalation, allowing precise tuning of their physical and chemical properties. In this work, a ternary compound, NiInSe (x = 0-0.
View Article and Find Full Text PDFAdv Mater
September 2025
Department of Engineering, School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.
A new family of nanostructured ternary intermetallic compounds - named the ZIP phases - is introduced in this work. The ZIP phases exhibit dualistic atomic ordering, i.e.
View Article and Find Full Text PDFSmall
September 2025
Department of Chemistry, Jadavpur University, Kolkata, 700032, India.
The design of a rare combination of interpenetrated and catenated 3D+2D→3D MOF {[Cd(dim)(dht)(HO)](Sol)} (1), with a unique network and extreme pH stability, has been developed for exceptional ionic conduction across a wide range of temperature and humidity conditions. The bare pore derivative of 1 (1') features remarkable structural flexibility and large pores accessible to encapsulate molecules such as NH, HCl, and KOH, enabling it to function as an efficient conductor for both proton and hydroxide ions. 1' demonstrates substantial thermal-influenced proton conductivity of 4.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Selenium, as an important semiconductor material, exhibits significant potential for understanding lattice dynamics and thermoelectric applications through its thermal transport properties. Conventional empirical potentials are often unable to accurately describe the phonon transport properties of selenium crystals, which limits in-depth understanding of their thermal conduction mechanisms. To address this issue, this study developed a high-precision machine learning potential (MLP), with training datasets generated molecular dynamics simulations.
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