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4 articles for “Anomalous diffusion”
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Numerical Simulation of Anomalous Diffusion in Levy Random Walk Processes by Monte Carlo Method
Abstract: We have simulated the nonlinear behaviour of mean square displacement <r2>, with time based on Levy random walk model. By analysing different prospects, we came to the conclusion that, Levy random walk with continuous step length distribution gives rise to <r2> which behaves nonlinearly with time. This is only observable, when time average is taken and ensemble average does not lead to any nonlinearity. It also indicated the non-ergodic property …
Published in Research & Reviews : Journal of Physics · Vol. 10, Issue 2, 2021 · pp. 23–30 Read article
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Formulation, Optimization and Evaluation of Flurbiprofen Liposomal Gel
Abstract: The present study deals with effect of various combinations of lecithin, cholesterol, chloroform-methanol and tween-80 on liposomes of flurbiprofen. Optimization of the flurbiprofen liposomes by Design Expert software was done. Vesicle size, drug content, SEM and entrapment efficiency were evaluated. Flurbiprofen gel with optimized liposome using Carbopol 934 as gelling agents, were formulated. pH, spreadability and drug content in the gel were evaluated. Results of skin irritation study showed that …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 8, Issue 2, 2017 · pp. 33–42 Read article
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Fractional Calculus-Based Analysis of Magneto-Thermal Nanofluid Flow Over Stretching and Shrinking Surfaces
Abstract: This study presents a comprehensive investigation of magneto-thermal hybrid nanofluid flow over stretching and shrinking surfaces using a fractional calculus framework to capture the memory and hereditary characteristics of complex fluid transport phenomena. The proposed model incorporates the effects of magnetic field intensity, thermal radiation, viscous dissipation, Brownian motion, and thermophoretic diffusion on the velocity and temperature distributions within the boundary layer region. A fractional-order derivative formulation is employed to …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 1–10 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article