Bridging the computational gap between mesoscopic and continuum modeling of red blood cells for fully resolved blood flowWe present a computational framework for the simulation of blood flow with fully resolved red blood cells (RBCs) using a modular approach that consists of a lattice Boltzmann solver for the blood…Christos Kotsalos, Jonas Latt, Bastien Chopard·Mar 15, 2019SaveLearn
An Implicit High-Order Preconditioned Flux Reconstruction Method for Low-Mach-Number Flow Simulation with Dynamic MeshesA fully implicit high-order preconditioned flux reconstruction/correction procedure via reconstruction (FR/CPR) method is developed to solve the compressible Navier-Stokes equations at low Mach…Lai Wang, Meilin Yu·Mar 15, 2019SaveLearn
Convergence issues in derivatives of Monte Carlo null-collision integral formulations: a solutionWhen a Monte Carlo algorithm is used to evaluate a physical observable A, it is possible to slightly modify the algorithm so that it evaluates simultaneously A and the derivatives ∂ ς A of…J-M Tregan, S. Blanco, J. Dauchet et al.·Mar 15, 2019SaveLearn
Non-equilibrium steady structures of confined liquid crystals driven by a dynamic boundarySteady structures originating from dynamic self-assembly have begun to show their advantages in new generation materials, and pose challenges to equilibrium self-assembly. In view of the important…Rui-fen Zhang, Chun-lai Ren, Jia-wei Feng et al.·Mar 15, 2019SaveLearn
Model input and output dimension reduction using Karhunen Loève expansions with application to biotransportWe consider biotransport in tumors with uncertain heterogeneous material properties. Specifically, we focus on the elliptic partial differential equation (PDE) modeling the pressure field inside the…Alen Alexanderian, William Reese, Ralph C. Smith et al.·Mar 15, 2019SaveLearn
Disordered interfaces in soft fluids with suspended colloidsComputer simulations of bi-continuous two-phase fluids with intersparsed dumbbells show that, unlike rigid colloids, soft dumbbells do not lead to arrested coarsening. However, they significantly…Adriano Tiribocchi, Marco Lauricella, Andrea Montessori et al.·Mar 13, 2019SaveLearn
Machine learning acceleration of simulations of Stokesian suspensionsParticulate Stokesian flows describe the hydrodynamics of rigid or deformable particles in Stokes flows. Due to highly nonlinear fluid-structure interaction dynamics, moving interfaces, and multiple…Gokberk Kabacaoglu, George Biros·Mar 13, 2019SaveLearn
Computationally efficient optimization of radiation drivesFor many applications of pulsed radiation, the time-history of the radiation intensity must be optimized to induce a desired time-history of conditions. This optimization is normally performed using…Damian C. Swift, George B. Zimmerman·Mar 13, 2019SaveLearn
Machine learning characterisation of Alfvénic and sub-Alfvénic chirping and correlation with fast ion loss at NSTXAbrupt large events in the Alfvénic and sub-Alfvénic frequency bands in tokamaks are typically correlated with increased fast ion loss. Here, machine learning is used to speed up the laborious…Benjamin J. Q. Woods, Vinícius N. Duarte, Eric D. Fredrickson et al.·Mar 12, 2019SaveLearn
A discontinuous Galerkin fast spectral method for multi-species full Boltzmann on streaming multi-processorsWhen the molecules of a gaseous system are far apart, say in microscale gas flows where the surface to volume ratio is high and hence the surface forces dominant, the molecule-surface interactions…Shashank Jaiswal, Jingwei Hu, Julien K. Brillon et al.·Mar 12, 2019SaveLearn
Solving the Riemann Problem for Realistic Astrophysical FluidsWe present new methods to solve the Riemann problem both exactly and approximately for general equations of state (EoS) to facilitate realistic modeling and understanding of astrophysical flows. The…Zhuo Chen, Matthew S. B. Coleman, Eric G. Blackman et al.·Mar 11, 2019SaveLearn
Angular adaptivity with spherical harmonics for Boltzmann transportThis paper describes an angular adaptivity algorithm for Boltzmann transport applications which uses Pn and filtered Pn expansions, allowing for different expansion orders across space/energy. Our…S. Dargaville, A. G. Buchan, R. P. Smedley-Stevenson et al.·Mar 11, 2019SaveLearn
Stochastic Time-Dependent DFT with Optimally Tuned Range-Separated Hybrids: Application to Excitonic Effects in Large Phosphorene SheetsWe develop a stochastic approach to time-dependent DFT with optimally-tuned range-separated hybrids containing non-local exchange, for calculating optical spectra. The attractive electron-hole…Vojtech Vlcek, Roi Baer, Daniel Neuhauser·Mar 11, 2019SaveLearn
Atomic energy mapping of neural network potentialWe show that the intelligence of the machine-learning potential arises from its ability to infer the reference atomic-energy function from a given set of total energies. By utilizing invariant points…Dongsun Yoo, Kyuhyun Lee, Wonseok Jeong et al.·Mar 11, 2019SaveLearn
Adaptive finite element simulations of waveguide configurations involving parallel 2D material sheetsWe discuss analytically and numerically the propagation and energy transmission of electromagnetic waves caused by the coupling of surface plasmon polaritons (SPPs) between two spatially separated…Jung Heon Song, Matthias Maier, Mitchell Luskin·Mar 11, 2019SaveLearn
A Nonlinear Three-Moment Model for Radiative Transfer in Spherical SymmetryWe study the approximation of the radiative transfer equation with a relatively few moments in the spherically symmetric case. We propose a three-moment model based on choosing the beta distribution…Ruo Li, Weiming Li, Lingchao Zheng·Mar 8, 2019SaveLearn
High-order upwind and non-oscillatory approach for steady state diffusion, advection-diffusion and application to magnetized electronsSteady state simulations of magnetized electron fluid equations with strong anisotropic diffusion based on the first-order hyperbolic approach is carried out using cell-centered higher order upwind…Amareshwara Sainadh Chamarthi, Kimiya Komurasaki, Rei Kawashima·Mar 8, 2019SaveLearn
Deep learning observables in computational fluid dynamicsMany large scale problems in computational fluid dynamics such as uncertainty quantification, Bayesian inversion, data assimilation and PDE constrained optimization are considered very challenging…Kjetil O. Lye, Siddhartha Mishra, Deep Ray·Mar 7, 2019SaveLearn
A discontinuous Galerkin fast spectral method for the multi-species Boltzmann equationWe introduce a fast Fourier spectral method for the multi-species Boltzmann collision operator. The method retains the riveting properties of the single-species fast spectral method (Gamba et al.…Shashank Jaiswal, Alina A. Alexeenko, Jingwei Hu·Mar 7, 2019SaveLearn
A log-linear time algorithm for the elastodynamic boundary integral equation methodWe present a fast and memory-efficient algorithm for transient, space-time-domain, and elastodynamic boundary-integral analysis. Associated data-sparse approximations and operations are named fast…Dye SK Sato, Ryosuke Ando·Mar 5, 2019SaveLearn
Adaptive Hybridizable Discontinuous Galerkin discretization of the Grad-Shafranov equation by extension from polygonal subdomainsWe propose a high-order adaptive numerical solver for the semilinear elliptic boundary value problem modelling magnetic plasma equilibrium in axisymmetric confinement devices. In the fixed boundary…Tonatiuh Sánchez-Vizuet, Manuel E. Solano, Antoine J. Cerfon·Mar 5, 2019SaveLearn
Effects of Membrane Morphology on the Efficiency of Direct Contact Membrane DistillationA computer simulation is used to predict the effects of membrane morphology on the thermal efficiency of direct contact membrane distillation. The mass transfer through the porous microstructure and…Gavin A. Buxton·Mar 4, 2019SaveLearn
Review of High-Quality Random Number GeneratorsThis is a review of pseudorandom number generators (RNG's) of the highest quality, suitable for use in the most demanding Monte Carlo calculations. All the RNG's we recommend here are based…Frederick James, Lorenzo Moneta·Mar 4, 2019SaveLearn
Comparison of multiphase SPH and LBM approaches for the simulation of intermittent flowsSmoothed Particle Hydrodynamics (SPH) and Lattice Boltzmann Method (LBM) are increasingly popular and attractive methods that propose efficient multiphase formulations, each one with its own…Thomas Douillet-Grellier, Sébastien Leclaire, David Vidal et al.·Mar 4, 2019SaveLearn
Imaginary-time time-dependent density functional theory and its application for robust convergence of electronic statesReliable and robust convergence to the electronic ground state within density functional theory (DFT) Kohn-Sham (KS) calculations remains a thorny issue in many systems of interest. In such cases,…Cedric Flamant, Grigory Kolesov, Efstratios Manousakis et al.·Mar 2, 2019SaveLearn