default search action
Journal of Computational Physics, Volume 397
Volume 397, November 2019
- Yanli Wang, Zhenning Cai:
Approximation of the Boltzmann collision operator based on hermite spectral method. - Duan Chen, Wei Cai:
An O(NlogN) hierarchical random compression method for kernel matrices by sampling partial matrix entries. - Yifei Guan
, Igor Novosselov
Two relaxation time lattice Boltzmann method coupled to fast Fourier transform Poisson solver: Application to electroconvective flow. - G. Jeanmasson, Ivan Mary, Luc Mieussens:
On some explicit local time stepping finite volume schemes for CFD. - Byungjoon Lee
A semi-implicit and unconditionally stable approximation of the surface tension in two-phase fluids. - Max E. Rife, Luca di Mare:
Numerical flux function for flow through porous media with discontinuous properties. - Wyatt James Horne, Krishnan Mahesh:
A massively-parallel, unstructured overset method to simulate moving bodies in turbulent flows. - Timo Betcke
Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra. - Min Zhang, Juan Cheng, Jianxian Qiu
High order positivity-preserving discontinuous Galerkin schemes for radiative transfer equations on triangular meshes. - Zhicheng Wang
A stabilized phase-field method for two-phase flow at high Reynolds number and large density/viscosity ratio. - E. A. Wenzel, Sean C. Garrick
A point-mass particle method for the simulation of immiscible multiphase flows on an Eulerian grid. - Konstantin Lipnikov, Nathaniel R. Morgan
A high-order discontinuous Galerkin method for level set problems on polygonal meshes. - Feng Chen
Adaptive cell method with constitutive matrix correction for simulating physical field on a coarse grid. - Nan Chen
A new efficient parameter estimation algorithm for high-dimensional complex nonlinear turbulent dynamical systems with partial observations. - Mauricio Aristizábal
Quaternion and octonion-based finite element analysis methods for computing multiple first order derivatives. - Casper Lindberg
A detailed particle model for polydisperse aggregate particles. - Giacomo Castiglioni
On the estimation of artificial dissipation and dispersion errors in a generic partial differential equation. - Bo Guo
Multiscale formulation of pore-scale compressible Darcy-Stokes flow. - Jingwei Hu, Shi Jin, Ruiwen Shu:
On stochastic Galerkin approximation of the nonlinear Boltzmann equation with uncertainty in the fluid regime. - Yingjie Gao
Extending the stability limit of explicit scheme with spatial filtering for solving wave equations. - Thomas Allen
A semi-Lagrangian semi-implicit immersed boundary method for atmospheric flow over complex terrain. - Linghua Kong
Stable and efficient numerical schemes for two-dimensional Maxwell equations in lossy medium. - Steven Dargaville
Angular adaptivity with spherical harmonics for Boltzmann transport. - Akshay Subramaniam
A high-order weighted compact high resolution scheme with boundary closures for compressible turbulent flows with shocks. - Francesco Regazzoni
Machine learning for fast and reliable solution of time-dependent differential equations. - Lisandro Dalcín
Conservative and entropy stable solid wall boundary conditions for the compressible Navier-Stokes equations: Adiabatic wall and heat entropy transfer. - Jian Yu, Chao Yan
Adaptive non-intrusive reduced order modeling for compressible flows. - Dhairya Malhotra
Taylor states in stellarators: A fast high-order boundary integral solver. - Jorge Eduardo Macías-Díaz
Algorithm for some anomalously diffusive hyperbolic systems in molecular dynamics: Theoretical analysis and pattern formation. - Lahbib Bourhrara:
A new numerical method for solving the Boltzmann transport equation using the PN method and the discontinuous finite elements on unstructured and curved meshes. - Stephan Thaler
Sparse identification of truncation errors. - Brian Weston, Robert R. Nourgaliev
Preconditioning a Newton-Krylov solver for all-speed melt pool flow physics. - Anil Yildirim
A Jacobian-free approximate Newton-Krylov startup strategy for RANS simulations. - Hua Shen, Matteo Parsani
A rezoning-free CESE scheme for solving the compressible Euler equations on moving unstructured meshes. - Alexandre Noll Marques
Imposing jump conditions on nonconforming interfaces for the Correction Function Method: A least squares approach. - Yu Li, Richard Mikaël Slevinsky:
Fast and accurate algorithms for the computation of spherically symmetric nonlocal diffusion operators on lattices. - Sean T. Miller, Eric C. Cyr
IMEX and exact sequence discretization of the multi-fluid plasma model. - William C. Tyson, Gary K. Yan
Relinearization of the error transport equations for arbitrarily high-order error estimates. - Maxime Theillard
Computational mean-field modeling of confined active fluids. - Yufeng Shi, Yan Guo
A fifth order alternative Compact-WENO finite difference scheme for compressible Euler equations. - Magnus Svärd, Jan Nordström
On the convergence rates of energy-stable finite-difference schemes. - Qian Kong, Yan-Fei Jing
Acceleration of the Scheduled Relaxation Jacobi method: Promising strategies for solving large, sparse linear systems. - Jie Ding, Zhongming Wang
Positivity preserving finite difference methods for Poisson-Nernst-Planck equations with steric interactions: Application to slit-shaped nanopore conductance. - Benjamin Stadlbauer, Andrea Cossettini
Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors. - Jiangming Xie, Miao-Jung Yvonne Ou, Liwei Xu:
A discontinuous Galerkin method for wave propagation in orthotropic poroelastic media with memory terms.
- Constantin Grigo, Phaedon-Stelios Koutsourelakis
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime. - Deep Ray
Detecting troubled-cells on two-dimensional unstructured grids using a neural network. - Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung:
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. - Dongkun Zhang, Lu Lu
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-02 21:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: