Zobrazeno 1 - 10
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pro vyhledávání: '"kumar, Gaurav"'
Autor:
Kumar, Gaurav, Ardekani, Arezoo M.
Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRNA delivery, due to their ability to transport nucleic acids across biological membranes, low cytotoxicity, improved pharmacokinetics, and scalability.
Externí odkaz:
http://arxiv.org/abs/2411.14293
Autor:
Dixit, Atul, Kumar, Gaurav
Page 27 of Ramanujan's Lost Notebook contains a beautiful identity which not only gives, as a special case, a famous modular relation between the Rogers-Ramanujan functions $G(q)$ and $H(q)$ but also a relation between two fifth order mock theta func
Externí odkaz:
http://arxiv.org/abs/2411.06412
Autor:
Kumar, Gaurav, Nair, Aditya G.
This work introduces a novel adaptive mesh refinement (AMR) method that utilizes dominant balance analysis (DBA) for efficient and accurate grid adaptation in computational fluid dynamics (CFD) simulations. The proposed method leverages a Gaussian mi
Externí odkaz:
http://arxiv.org/abs/2411.02677
Recent experimental studies reveal that the near-wake region of a circular cylinder at hypersonic Mach numbers exhibits self-sustained flow oscillations. The oscillation frequency was found to have a universal behavior. Experimental observations sugg
Externí odkaz:
http://arxiv.org/abs/2407.06449
Transformer-based models have revolutionized the field of image super-resolution (SR) by harnessing their inherent ability to capture complex contextual features. The overlapping rectangular shifted window technique used in transformer architecture n
Externí odkaz:
http://arxiv.org/abs/2403.16143
Savonius turbines, prominent in small-scale wind turbine applications operating under low-speed conditions, encounter limitations due to opposing torque on the returning blade, impeding high efficiency. A viable solution involves mitigating this reta
Externí odkaz:
http://arxiv.org/abs/2403.04876
Autor:
Bejnordi, Babak Ehteshami, Kumar, Gaurav, Royer, Amelie, Louizos, Christos, Blankevoort, Tijmen, Ghafoorian, Mohsen
Jointly learning multiple tasks with a unified model can improve accuracy and data efficiency, but it faces the challenge of task interference, where optimizing one task objective may inadvertently compromise the performance of another. A solution to
Externí odkaz:
http://arxiv.org/abs/2402.16848
Publikováno v:
J. Fluid Mech. 988 (2024) A37
Coherent small-amplitude unsteadiness of the shock wave and the separation region over a canonical double cone flow, termed in literature as oscillation-type unsteadiness, is experimentally studied at Mach 6. The double cone model is defined by three
Externí odkaz:
http://arxiv.org/abs/2401.01538
Enhancing aerodynamic efficiency is vital for optimizing aircraft performance and operational effectiveness. It enables greater speeds and reduced fuel consumption, leading to lower operating costs. Hence, the implementation of Gurney flaps represent
Externí odkaz:
http://arxiv.org/abs/2307.13612
In this paper, we introduced $\alpha$-Hurewicz $\&$ $\theta$-Hurewicz properties in a topological space $X$ and investigated their relationship with other selective covering properties. We have shown that for an extremally disconnected semi-regular s
Externí odkaz:
http://arxiv.org/abs/2307.00487