arxiv.org/abs/1610.05844v1
Long time existence and convergence to a circle is proved for radial graph solutions to a mean curvature type curve flow in warped product surfaces (under a weak assumption on the warp potential of the surface). This curvature flow preserves the area...
github.com/thunil/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning (⭐ 340)
arxiv.org/abs/2509.14416v1
Cross-flow turbines show promise for renewable energy generation from wind and tidal sources. The rotating reference frame of cross-flow turbine blades results in virtual camber and incidence due to streamline curvature, altering the lift, drag and p...
arxiv.org/abs/2207.11229v1
The music streaming service Deezer extensively relies on its Flow algorithm, which generates personalized radio-style playlists of songs, to help users discover musical content. Nonetheless, despite promising results over the past years, Flow used to...
arxiv.org/abs/0809.2758v3
This paper presents a lattice approach to model the influence of cracking on inviscid flow in concrete. A mechanical lattice model based on a damage-plasticity constitutive model was combined with a new dual lattice of conduit elements for flow ana...
arxiv.org/abs/1902.08079v1
We study an $L^{2}$-type gradient flow of an immersed elastic curve in $\mathbb{R}^{2}$ whose endpoints repel each other via a Coulomb potential. By De Giorgi's minimizing movements scheme we prove long-time existence of the flow. The work is complem...
github.com/Johswald/flow-code-python
Python I/O for optical flow files (.flo) (⭐ 61)
arxiv.org/abs/1312.3589v1
The relation between the fundamental observables of traffic flow (i.e., vehicle density, flow rate, and average velocity) is of great importance for the study of traffic phenomena. Probably the most common source of such data are inductive loop detec...
github.com/vaadin/beverage-starter-flow
Simple Example Web Application for Vaadin Flow (⭐ 26)
github.com/atong01/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library (⭐ 2336)
arxiv.org/abs/1903.08328v1
Motivated by the traffic flow model with Arrhenius look-ahead relaxation dynamics introduced in [A. Sopasakis and M.A. Katsoulakis, SIAM J. Appl. Math., 66 (2006), p. 921--944], this paper proposes a traffic flow model with look ahead relaxation-behi...
arxiv.org/abs/2410.08213v1
A cantilever beam under axial flow, confined or not, is known to develop self-sustained oscillations at sufficiently large flow velocities. In recent decades, the analysis of this archetypal system has been mostly pursued under linearized conditions,...
arxiv.org/abs/nlin/0102013v1
A consistent description of shear flow and the accompanied viscous heating as well the associated entropy balance is given in the framework of a deterministic dynamical system. A laminar shear flow is modeled by a Hamiltonian multibaker map which d...
arxiv.org/abs/1910.00453v3
In the first part of this paper we will work out a close and so far not yet noticed correspondence between the swampland approach in quantum gravity and geometric flow equations in general relativity, most notably the Ricci flow. We conjecture that f...
github.com/dashouse/govuk-design-system-flow-diagrams
A Sketch file to help you create flow diagrams for the GOV.UK Design System (⭐ 19)
arxiv.org/abs/2002.08766v1
Powders are a special class of granular matter due to the important role of cohesive forces. The flow behavior of powders depends on the flow states and stress and is therefore difficult to measure/quantify with only one experiment. In this study, th...
arxiv.org/abs/1410.7824v2
We present an experimental study of the statistical properties of millimeter-size spheres floating on the surface of a turbulent flow. The flow is generated in a layer of liquid metal by an electromagnetic forcing. By using two magnet arrays, we are...
github.com/Augus1999/bayesian-flow-network-for-chemistry
ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University. (⭐ 28)
arxiv.org/abs/2209.04508v1
This paper introduces a new model for highly accurate distribution voltage solutions, coined as a parameterized linear power flow model. The proffered model is grounded on a physical model of linear power flow equations, and uses learning-aided param...
github.com/vaadin/flow
Vaadin Flow is a Java framework binding Vaadin web components to Java. This is part of Vaadin 10+. (⭐ 734)