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B. Anju

Bio: B. Anju is an academic researcher from University of Kerala. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

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TL;DR: In this article, the magnetic hyperthermia efficiency of magnetite ferrofluids based on bio-friendly oils extracted from Calophyllum inophyllus (punnaga), Brassica juncea (mustard), Ricinus communis (castor), and Madhuca longifolia (iluppai) seeds was studied.

8 citations


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TL;DR: In this paper, a simple theory of the dynamic response of a ferrofluid to an ac magnetic field is obtained that includes both the effects of interparticle dipole-dipole interactions and the dependence on field amplitude.
Abstract: Based on numerical results of dynamic susceptibility, a simple theory of the dynamic response of a ferrofluid to an ac magnetic field is obtained that includes both the effects of interparticle dipole-dipole interactions and the dependence on field amplitude. Interparticle interactions are incorporated in the theory using the so-called modified mean-field approach. The new theory has the following important characteristics: in the noninteracting regime at a weak ac field, it gives the correct single-particle Debye theory results; it expands the applicability of known theories valid for high concentrations [Ivanov, Zverev, and Kantorovich, Soft Matter 12, 3507 (2016)] or large values of ac field amplitudes [Yoshida and Enpuku, Jpn. J. Appl. Phys. 48, 127002 (2009)], in accordance with their applicability. The susceptibility spectra are analyzed in detail. It is demonstrated that interparticle dipole-dipole interactions and an increase in field amplitude have an opposite effect on the dynamic response of ferrofluids, so that at certain field amplitudes, relaxation processes in the system of interacting particles are determined by the characteristic relaxation times for an ideal paramagnetic gas. The new theory correctly predicts the dynamic susceptibility and characteristic relaxation times of a ferrofluid at high ac field amplitudes as long as the Langevin susceptibility ${\ensuremath{\chi}}_{L}\ensuremath{\lesssim}1$, which is a complex characteristic of ferrofluid density and the intensity of interparticle dipole-dipole interactions.

6 citations

Journal ArticleDOI
TL;DR: The role of reconfigurable nanostructures in the temporal and switching behavior of transmitted light is also studied in this article, where an oil-in-water magnetic nanoemulsion with an average diameter of 200nm, containing Fe3O4 superparamagnetic nanoparticles of 10nm average diameter, is used in this study.

6 citations

Journal ArticleDOI
TL;DR: In this article , the authors reported the viscosity independent magnetic hyperthermia properties of biocompatible ultrafine (average size ∼ 2.5 nm) chitosan-coated superparamagnetic CoFe 2 O 4 nanoparticles synthesized using a low-cost co-precipitation technique.

5 citations

Journal ArticleDOI
01 Oct 2021
TL;DR: Yoshida et al. as mentioned in this paper studied the dependence of the computational error arising in the computer simulation of the dynamic susceptibility on the input parameters of the numerical algorithm: the length of the time step, the total number of computer simulation periods, and averaging period.
Abstract: The response of ferrofluids to a high-amplitude AC magnetic field is important for several applications including magnetic hyperthermia and biodetection. In computer simulations of the dynamic susceptibility of a ferrofluid outside the linear response region, there are several problems associated with the fact that an increase in the frequency of the AC field leads to the appearance of additional computational errors, which can even lead to unphysical results. In this article, we study the dependence of the computational error arising in the computer simulation of the dynamic susceptibility on the input parameters of the numerical algorithm: the length of the time step, the total number of computer simulation periods, and averaging period. Computer simulation is carried out using the Langevin dynamics method and takes Brownian rotational relaxation of magnetic particles and interparticle interactions into account. The reference theory [Yoshida T.; Enpuku K. Jap. J. Ap. Phys. 2009] is used to estimate computational error. As a result, we give practical recommendations for choosing the optimal input parameters of the numerical algorithm, which make it possible to obtain reliable results of the dynamic susceptibility of a ferrofluid in a high-amplitude AC field in a wide frequency range.

3 citations

Journal ArticleDOI
TL;DR: In this paper , the second-order buoyancy of a cylindrical permanent magnet was derived by calculating the differential pressure with different surfaces of the permanent magnet to obtain the second order buoyancy, which is applicable for the open container.

3 citations