Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Kunal Puri"'
Publikováno v:
National Journal of Laboratory Medicine, Vol 4, Iss 1, Pp 8-10 (2015)
Salivary gland neoplasms comprise 3% of all the head and neck neoplasms. Lymphoepithelial carcinoma of the salivary gland is extremely rare and accounts for less than 1% of all salivary gland neoplasms. It is known to have a racial predilection f
Externí odkaz:
https://doaj.org/article/a311726fd86f49b29d9c50b0e0784e85
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 7, Iss 7, Pp 1434-1435 (2013)
Cavernous hemangiomas occur frequently in the intracranial structures but they are rare in the spine, with an incidence of 0.22 cases/million/year, which account for 5 – 12% of the spinal vascular lesions, 51% of which are extradural. Most of t
Externí odkaz:
https://doaj.org/article/ce95485b42f54d16b357cfdff6362bf8
Autor:
Aurelio Hurtado-de-Mendoza, Jiaqing Kou, Saumitra Joshi, Kunal Puri, Charles Hirsch, Esteban Ferrer
Publikováno v:
Journal of Computational Physics
We present a numerical analysis of linear multigrid operators for the high-order Flux Reconstruction method. The non-modal analysis is used to assess the short-term numerical dissipation in the context of 1D and 2D linear convection-diffusion. The ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823c7a75e117f5c383e53424fd5ffb02
Autor:
Kunal Puri, Prabhu Ramachandran
Publikováno v:
Computers & Fluids. 179:579-594
In this paper, the Entropically Damped Artificial Compressibility (EDAC) formulation of Clausen (2013) is used in the context of the Smoothed Particle Hydrodynamics (SPH) method for the simulation of incompressible fluids. Traditionally, weakly-compr
Autor:
Charles Hirsch, Saumitra Joshi, Kunal Puri, Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Esteban Ferrer
Publikováno v:
WCCM-ECCOMAS2020
High-order (HO) methods are of concerted academic and industrial interest in recent years due to their improved accuracy and their capability to deal with complex geometries [1]. Of particular note is the flux reconstruction method [2], which unifies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c291fe2121896f7b493024ad17a82d9f
https://www.scipedia.com/public/Joshi_et_al_2021a
https://www.scipedia.com/public/Joshi_et_al_2021a
Autor:
Saumitra Joshi, Aurelio Hurtado-de-Mendoza, Kunal Puri, Jiaqing Kou, Esteban Ferrer, Charles Hirsch
In the last decade, there has been a lot of interest in developing high-order methods as viable option for unsteady scale-resolving-simulations which are increasingly important in the industrial design process. High-order methods offer the advantage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c34bc934765a2948b0f607fac8ccffa7
Autor:
Joshi, Saumitra, Jiaqing Kou, De Mendoza, Aurelio Hurtado, Kunal Puri, Hirsch, Charles, Rubio, Gonzalo, Ferrer, Esteban
Publikováno v:
SSRN Electronic Journal.
We propose a strategy to estimate the maximum stable time-steps for explicit time-stepping methods for hyperbolic systems in a high-order flux reconstruction framework. The strategy is derived through a von-Neumann analysis (VNA) framework for the ad
Autor:
Saumitra Joshi, Esteban Ferrer, Aurelio Hurtado-de-Mendoza, Charles Hirsch, Kunal Puri, Jiaqing Kou
Publikováno v:
WCCM-ECCOMAS2020
14th WCCM-ECCOMAS Congress
14th WCCM-ECCOMAS Congress
In the last decade, high-order methods for Computational Fluid Dynamics (CFD) are becoming attractive for unsteady scale-resolving-simulations in industrial CFD applications, due to their advantages of low numerical dissipation, high efficiency on mo
Publikováno v:
Accelerator Programming Using Directives ISBN: 9783030742232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ea2ebcdda1e406bcff8c3322ba0e0e0
https://doi.org/10.1007/978-3-030-74224-9_3
https://doi.org/10.1007/978-3-030-74224-9_3
Autor:
Arpit Agarwal, Mrinalgouda Patil, Vikas Kurapati, Anshuman Kumar, Kunal Puri, Dileep Menon, Pankaj Pandey, Prabhu Ramachandran, Rohan Kaushik, Rahul Govind, Arkopal Dutt, Chandrashekhar Kaushik, A. Dinesh, Suraj Sanka, Abhinav Muta, Pawan Negi, Aditya Bhosale, Deep Tavker, Ananyo Sen, Amal S. Sebastian
PySPH is an open-source, Python-based, framework for particle methods in general and Smoothed Particle Hydrodynamics (SPH) in particular. PySPH allows a user to define a complete SPH simulation using pure Python. High-performance code is generated fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8eae958e828aadeb2866dfa7f2e5540