Zobrazeno 1 - 10
of 437
pro vyhledávání: '"Marcus, Philip"'
Autor:
Lee, Sangjoon, Marcus, Philip S.
The transient dynamics of a wake vortex, modelled by a strong swirling $q$-vortex, are examined with an emphasis on exploring optimal transient growth constructed by continuous eigenmodes associated with continuous spectra. The pivotal contribution o
Externí odkaz:
http://arxiv.org/abs/2402.07469
Employing a poloidal-toroidal projection technique, a multi-scale analysis of resonant wave triads in columnar vortices is performed to obtain the governing equations of the triadically coupled wave amplitudes. For inviscid flows, we establish that r
Externí odkaz:
http://arxiv.org/abs/2402.05287
Autor:
Zhang, Aidi, Marcus, Philip S.
Detailed observations of the velocities of Jovian vortices exist at only one height in the atmosphere, so their vertical structures are poorly understood. This motivates this study that computes stable 3-dimensional, long-lived planetary vortices tha
Externí odkaz:
http://arxiv.org/abs/2310.01435
Autor:
Lee, Sangjoon, Marcus, Philip S.
A spectral method using associated Legendre functions with algebraic mapping is developed for a linear stability analysis of wake vortices. These functions serve as Galerkin basis functions, capturing correct analyticity and boundary conditions for v
Externí odkaz:
http://arxiv.org/abs/2209.00295
Finding the optimal design of a hydrodynamic or aerodynamic surface is often impossible due to the expense of evaluating the cost functions (say, with computational fluid dynamics) needed to determine the performances of the flows that the surface co
Externí odkaz:
http://arxiv.org/abs/2207.11451
We present Design-by-Morphing (DbM), a novel design methodology applicable to creating a search space for topology optimization of 2D airfoils. Most design techniques impose geometric constraints and sometimes designers' bias on the design space itse
Externí odkaz:
http://arxiv.org/abs/2207.11448
Optimizing multiple, non-preferential objectives for mixed-variable, expensive black-box problems is important in many areas of engineering and science. The expensive, noisy, black-box nature of these problems makes them ideal candidates for Bayesian
Externí odkaz:
http://arxiv.org/abs/2201.12767
Autor:
Jiang, Chiyu Max, Esmaeilzadeh, Soheil, Azizzadenesheli, Kamyar, Kashinath, Karthik, Mustafa, Mustafa, Tchelepi, Hamdi A., Marcus, Philip, Prabhat, Anandkumar, Anima
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution framework to generate continuous (grid-free) spatio-temporal solutions from the low-resolution inputs. While being computationally efficient, MeshfreeFlowNet accurately recovers
Externí odkaz:
http://arxiv.org/abs/2005.01463
Akademický článek
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Autor:
Jiang, Chiyu "Max", Lansigan, Dana Lynn Ona, Marcus, Philip, Nießner, Matthias
We present a Deep Differentiable Simplex Layer (DDSL) for neural networks for geometric deep learning. The DDSL is a differentiable layer compatible with deep neural networks for bridging simplex mesh-based geometry representations (point clouds, lin
Externí odkaz:
http://arxiv.org/abs/1901.11082