Anti-diffusive, Non-oscillatory Central (adNOC) scheme to solve the shallow water equations over an erodible substrate in two dimensionsShallow water surface flows commonly entrain sediments, resulting in scouring and/or deposition of the underlying substrate that may strongly influence the pattern of subsequent flow. These coupled…Haseeb Zia, Guy Simpson·Nov 10, 2019SaveLearn
Anti-diffusive, non-oscillatory central difference scheme (adNOC) suitable for highly nonlinear advection-dominated problemsExplicit non-oscillatory central difference schemes become excessively diffusive when applied to highly nonlinear advection problems where small time steps are necessary to maintain stability. Here,…Haseeb Zia, Guy Simpson·Nov 10, 2019SaveLearn
A conservative diffuse-interface method for compressible two-phase flowsIn this article, we propose a novel conservative diffuse-interface method for the simulation of immiscible compressible two-phase flows. The proposed method discretely conserves the mass of each…Suhas S. Jain, Ali Mani, Parviz Moin·Nov 9, 2019SaveLearn
Well-balanced, anti-diffusive non-oscillatory central difference (adNOC) scheme for the shallow water equations with wet-dry frontsWe present a central differencing scheme for the solution of the shallow water equations with non-flat bottom topography and moving wet-dry fronts. The problem is numerically challenging due to two…Haseeb Zia, Guy Simpson·Nov 8, 2019SaveLearn
A large-scale statistical study of the coarsening rate in models of Ostwald-RipeningIn this article we look at the coarsening rate in two standard models of Ostwald Ripening. Specifically, we look at a discrete droplet population model, which in the limit of an infinite droplet…Lennon Ó Náraigh, Andrew Gloster·Nov 8, 2019SaveLearn
Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet TransportWe propose a highly versatile computational framework for the simulation of cellular blood flow focusing on extreme performance without compromising accuracy or complexity. The tool couples the…Christos Kotsalos, Jonas Latt, Joel Beny et al.·Nov 8, 2019SaveLearn
Neutron Production by MuonsA phenomenological approach for neutron production in fast muon interactions has been considered. Linear approximation for photonuclear production mechanism at shallow depth has been deduced. Present…B. Pritychenko·Nov 6, 2019SaveLearn
Role of surface defects and material inhomogeneities for vortex nucleation in superconductors within time-dependent Ginzburg-Landau theory in 2 and 3 dimensionsWe use Time-Dependent Ginzburg-Landau theory to study the nucleation of vortices in type II superconductors in the presence of both geometric and material inhomogeneities. The superconducting…Alden R. Pack, Jared Carlson, Spencer Wadsworth et al.·Nov 5, 2019SaveLearn
Characterization and Integration of the Singular Test Integrals in the Method-of-Moments Implementation of the Electric-Field Integral EquationIn this paper, we characterize the logarithmic singularities arising in the method of moments from the Green's function in integrals over the test domain, and we use two approaches for designing…Brian A. Freno, William A. Johnson, Brian F. Zinser et al.·Nov 5, 2019SaveLearn
An evolve-then-correct reduced order model for hidden fluid dynamicsIn this paper, we put forth an evolve-then-correct reduced order modeling approach that combines intrusive and nonintrusive models to take hidden physical processes into account. Specifically, we…Suraj Pawar, Shady E. Ahmed, O. San et al.·Nov 5, 2019SaveLearn
Direct numerical simulation of the multimode narrowband Richtmyer-Meshkov instabilityEarly to intermediate time behaviour of the planar Richtmyer--Meshkov instability (RMI) is investigated through direct numerical simulation (DNS) of the evolution of a deterministic interfacial…Michael Groom, Ben Thornber·Nov 5, 2019SaveLearn
Local on-surface radiation condition for multiple scattering of waves from convex obstaclesWe propose a novel on-surface radiation condition to approximate the outgoing solution to the Helmholtz equation in the exterior of several impenetrable convex obstacles. Based on a local…Sebastian Acosta·Nov 4, 2019SaveLearn
Rigidly rotating gravitationally bound systems of point particles, compared to polytropesIn order to simulate rigidly rotating polytropes we have simulated systems of N point particles, with N up to 1800. Two particles at a distance r interact by an attractive potential -1/r and…Yngve Hopstad, Jan Myrheim·Nov 4, 2019SaveLearn
Improvements for drift-diffusion plasma fluid models with explicit time integrationDrift-diffusion plasma fluid models are commonly used to simulate electric discharges. Such models can computationally be very efficient if they are combined with explicit time integration. This…Jannis Teunissen·Nov 4, 2019SaveLearn
Iterative unbiasing of quasi-equilibrium samplingAtomistic modelling of phase transitions, chemical reactions, or other rare events that involve overcoming high free energy barriers usually entails prohibitively long simulation times. Introducing a…Federico Giberti, Bingqing Cheng, Gareth Aneurin Tribello et al.·Nov 4, 2019SaveLearn
A Statically Condensed Discontinuous Galerkin Spectral Element Method on Gauss-Lobatto Nodes for the Compressible Navier-Stokes EquationsWe present a static-condensation method for time-implicit discretizations of the Discontinuous Galerkin Spectral Element Method on Gauss-Lobatto points (GL-DGSEM). We show that, when solving the…Andrés M. Rueda-Ramírez, Esteban Ferrer, David A. Kopriva et al.·Nov 4, 2019SaveLearn
The u-series: A separable decomposition for electrostatics computation with improved accuracyThe evaluation of electrostatic energy for a set of point charges in a periodic lattice is a computationally expensive part of molecular dynamics simulations (and other applications) because of the…Cristian Predescu, Adam K. Lerer, Ross A. Lippert et al.·Nov 4, 2019SaveLearn
Interatomic Potential in a Simple Dense Neural Network RepresentationSimulations at the atomic scale provide a direct and effective way to understand the mechanical properties of materials. In the regime of classical mechanics, simulations for the thermodynamic…Ka-Ming Tam, Nicholas Walker, Samuel Kellar et al.·Nov 4, 2019SaveLearn
Modulation of heat transport in two-dimensional group-III chalcogenidesWe systematically investigated the modulation of heat transport of experimentally accessible two-dimensional (2D) group-III chalcogenides by firstprinciples calculations. It was found that intrinsic…Wenhui Wan, Ziwei Song, Shan Zhao et al.·Nov 3, 2019SaveLearn
Dimensionality Reduction and Reduced Order Modeling for Traveling Wave PhysicsWe develop an unsupervised machine learning algorithm for the automated discovery and identification of traveling waves in spatio-temporal systems governed by partial differential equations (PDEs).…Ariana Mendible, Steven L. Brunton, Aleksandr Y. Aravkin et al.·Nov 1, 2019SaveLearn
Quantification of MagLIF morphology using the Mallat Scattering TransformationThe morphology of the stagnated plasma resulting from Magnetized Liner Inertial Fusion (MagLIF) is measured by imaging the self-emission x-rays coming from the multi-keV plasma, and the evolution of…Michael E. Glinsky, Thomas W. Moore, William E. Lewis et al.·Nov 1, 2019SaveLearn
The worm-LBM, an algorithm for a high number of propagation directions on a lattice Boltzmann grid: the case of phonon transportThe lattice Boltzmann method (LBM) is a numerical approach to tackle problems described by a Boltzmann type-equation, where time, space, and velocities are discretized to describe scattering and…René Hammer, Verena Fritz, Natalia Bedoya-Martínez·Nov 1, 2019SaveLearn
A self-similarity principle for the computation of rare event probabilityThe probability of rare and extreme events is an important quantity for design purposes. However, computing the probability of rare events can be expensive because only a few events, if any, can be…Malik Hassanaly, Venkat Raman·Nov 1, 2019SaveLearn
Non-equilibrium Model for Weakly Compressible Multi-component Flows: the Hyperbolic OperatorWe present a novel pressure-based method for weakly compressible multiphase flows, based on a non-equilibrium Baer and Nunziato-type model. In this work, we describe the hyperbolic operator, thus we…Barbara Re, Rémi Abgrall·Nov 1, 2019SaveLearn
A QMC-deep learning method for diffusivity estimation in random domainsExciton diffusion plays a vital role in the function of many organic semiconducting opto-electronic devices, where an accurate description requires precise control of heterojunctions. This poses a…Liyao Lyu, Zhiwen Zhang, Jingrun Chen·Oct 31, 2019SaveLearn