Morphology-driven gas sensing by fabricated fractals: A review

• Vishal Kamathe and
• Rupali Nagar

Beilstein J. Nanotechnol. 2021, 12, 1187–1208, doi:10.3762/bjnano.12.88

• , namely fractal dimension (D), lacunarity (L), and connectivity (Q), that describe geometric features. Figure 2a shows the examples of different fractal clusters with varying values of D and L [48]. While D measures the complexity of a system, L measures the morphological inhomogeneity of fractals. The

• interconnections, fractal dimension, density, and average size of the fractal clusters. A sensitivity of 0.8 at 450 °C for 500 ppm of CO was achieved. Lower fractal dimension (D = 1.818 at 450 °C) and density favored a higher sensitivity towards CO. This could be due to the increased porosity of the structures

Heating ability of magnetic nanoparticles with cubic and combined anisotropy

• Nikolai A. Usov,
• Mikhail S. Nesmeyanov,
• Elizaveta M. Gubanova and
• Natalia B. Epshtein

Beilstein J. Nanotechnol. 2019, 10, 305–314, doi:10.3762/bjnano.10.29

• anisotropy. A substantial dependence of the SAR on the nanoparticle diameter is obtained for all cases investigated. Due to the influence of the magneto–dipole interaction, the SAR of fractal clusters of nanoparticles decreases considerably in comparison with that for weakly interacting nanoparticles

• . However, the ability of magnetic nanoparticle assemblies to generate heat can be improved if the nanoparticles are covered by nonmagnetic shells of appreciable thickness. Keywords: fractal clusters; magnetite nanoparticles; magneto–dipole interaction; numerical simulation; specific absorption rate

• , similar to the case of interacting uniaxial nanoparticles [22], the strong magneto–dipole interaction considerably decreases the SAR of fractal clusters of magnetite nanoparticles. However, the dependence of the SAR on the mean nanoparticle diameter is retained, being less pronounced for strongly