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Sökning: WFRF:(Yus Joaquin)

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1.
  • Alinejadian, Navid, et al. (författare)
  • Reduction-based engineering of three-dimensional morphology of Ni-rGO nanocomposite
  • 2021
  • Ingår i: Materials Science & Engineering. - : Elsevier BV. - 0921-5107 .- 1873-4944. ; 271
  • Tidskriftsartikel (refereegranskat)abstract
    • Relying on the reduction of oxygenated functional groups of graphene oxide, the engineering of the morphology of Ni-based reduced graphene oxide (Ni-rGO) nanocomposite was carried out via galvanostatic electrochemical co-deposition by changing the current density in a range of 0.001-0.01 A.cm(-2) and loading of 2 g.L-1 of graphene oxide. The morphology has been converted to a porous, rough, and three-dimensional (3D) form by significant incorporation and simultaneous reduction of GO into the structure of Ni-rGO nanocomposite film. Study on 3D morphology by SEM, FT-IR, XRD, and Raman confocal spectroscopy approved simultaneously reduction of oxygenated functional groups. Moreover, we have discussed the impact of rGO incorporated in the structure of Ni-rGO nanocomposite onto the creation of porous 3D-morphology and the enhancement of the electroactive specific surface. This new fascinating mechanism and structure can lead to the enhancement of electroactive components in electrochemical sensors and energy conversion-storage systems.
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2.
  • Barrat, Jean-Louis, et al. (författare)
  • Soft matter roadmap
  • 2024
  • Ingår i: Journal of Physics. - : Institute of Physics Publishing (IOPP). - 2515-7639. ; 7:1
  • Forskningsöversikt (refereegranskat)abstract
    • Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterise them, this renders soft matter systems powerful model systems to investigate statistical physics phenomena, many of them relevant as well to hard condensed matter systems. Understanding the emerging properties from mesoscale constituents still poses enormous challenges, which have stimulated a wealth of new experimental approaches, including the synthesis of new systems with, e.g. tailored self-assembling properties, or novel experimental techniques in imaging, scattering or rheology. Theoretical and numerical methods, and coarse-grained models, have become central to predict physical properties of soft materials, while computational approaches that also use machine learning tools are playing a progressively major role in many investigations. This Roadmap intends to give a broad overview of recent and possible future activities in the field of soft materials, with experts covering various developments and challenges in material synthesis and characterisation, instrumental, simulation and theoretical methods as well as general concepts.
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