Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Chatterjee, Soumyadeep"'
In this article, we report the equilibrium and nonequilibrium features of two-dimensional (2D) and three-dimensional (3D) Euler turbulence. To obtain a full range of equilibrium spectra, we perform pseudo-spectral simulations of Euler turbulence usin
Externí odkaz:
http://arxiv.org/abs/2307.05487
In this review, we describe turbulent drag reduction in a variety of flows using a universal framework of energy flux. In a turbulent flow with dilute polymers and magnetic field, the kinetic energy injected at large scales cascades to the velocity f
Externí odkaz:
http://arxiv.org/abs/2301.01281
Publikováno v:
Physical Review FLUIDS 7, 114608 (2022)
Using numerical simulations, we show that the asymptotic states of two-dimensional (2D) Euler turbulence exhibit large-scale flow structures due to nonzero energy transfers among small wavenumber modes. These asymptotic states, which depend on the in
Externí odkaz:
http://arxiv.org/abs/2210.06445
Publikováno v:
Physical Review E 105, 034121 (2022)
We simulate KdV and dissipation-less Burgers equations using delta-correlated random noise as initial condition. We observe that the energy fluxes of the two equations remain zero throughout, thus indicating their equilibrium nature. We characterize
Externí odkaz:
http://arxiv.org/abs/2203.08626
Autor:
Verma, Manthan, Chatterjee, Soumyadeep, Garg, Gaurav, Sharma, Bharatkumar, Arya, Nishant, Kumar, Shashi, Saxena, Anish, Verma, Mahendra K.
In this paper, we present the details of our multi-node GPU-FFT library, as well its scaling on Selene HPC system. Our library employs slab decomposition for data division and MPI for communication among GPUs. We performed GPU-FFT on $1024^3$, $2048^
Externí odkaz:
http://arxiv.org/abs/2202.12756
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (7), 073110 (2020)
In this paper, we derive a four-mode model for the Kolmogorov flow by employing Galerkin truncation and Craya-Herring basis for the decomposition of velocity field. After this, we perform a bifurcation analysis of the model. Though our low-dimensiona
Externí odkaz:
http://arxiv.org/abs/2007.06513
We perform a unique direct numerical simulation of Euler turbulence using delta-correlated velocity field as an initial condition, and report a full range of $k^2$ and $k$ energy spectra for 3D and 2D flows respectively, zero energy flux, and Maxwell
Externí odkaz:
http://arxiv.org/abs/2004.09053
In hydrodynamic turbulence, the kinetic energy injected at large scales cascades to the inertial range, leading to a constant kinetic energy flux. In contrast, in magnetohydrodynamic (MHD) turbulence, a fraction of kinetic energy is transferred to th
Externí odkaz:
http://arxiv.org/abs/2004.06713
Autor:
Goncalves, Andre R., Das, Puja, Chatterjee, Soumyadeep, Sivakumar, Vidyashankar, Von Zuben, Fernando J., Banerjee, Arindam
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. While sometimes the underlying task relationship structure is known, often the structure needs to be estimated from data at hand.
Externí odkaz:
http://arxiv.org/abs/1409.0272
We propose a Generalized Dantzig Selector (GDS) for linear models, in which any norm encoding the parameter structure can be leveraged for estimation. We investigate both computational and statistical aspects of the GDS. Based on conjugate proximal o
Externí odkaz:
http://arxiv.org/abs/1406.5291