The Journal of Computational Physics focuses on the computational aspects of physical problems. JCP encourages original scientific contributions in advanced mathematical and numerical modeling reflecting a combination of concepts, methods and principles which are often interdisciplinary in nature and span several areas of physics, mechanics, applied mathematics, statistics, applied geometry, computer science, chemistry and other scientific disciplines as well: the Journal's editors seek to emphasize methods that cross disciplinary boundaries.
The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract. Review articles providing a survey of particular fields are particularly encouraged. Full text articles have a recommended length of 35 pages. In order to estimate the page limit, please use our template.
Published conference papers are welcome provided the submitted manuscript is a significant enhancement of the conference paper with substantial additions.
Reproducibility, that is the ability to reproduce results obtained by others, is a core principle of the scientific method. As the impact of and knowledge discovery enabled by computational science and engineering continues to increase, it is imperative that reproducibility becomes a natural part of these activities. The journal strongly encourages authors to make available all software or data that would allow published results to be reproduced and that every effort is made to include sufficient information in manuscripts to enable this. This should not only include information used for setup but also details on post-processing to recover published results.
You can link to data posted in a repository or upload them to Mendeley Data. We also encourage authors to submit research elements describing their data to Data in Brief and software to Software X.

Editor in Chief
Rémi Abgrall
University of Zurich
Numerical schemes for hyperbolic problems; Multiphase flows; Interface problems; Hamilton Jacobi;Unstructured meshes; High order schemes
Executive Editors
Nikolaus Adams
Technical University of Munich Chair of Aerodynamics and Fluid mechanics, Garching, Germany
Flow physics; Modelling and simulation of multi-scale flows and complex fluids; Dissemination of fundamental research into applications.
Luis Chacon
Los Alamos National Laboratory, Los Alamos, New Mexico, United States
Computational physics algorithm development and implementation; Computational co-design; Computational and theoretical plasma physics at the macroscopic scale, the kinetic scale, and across these scales (multi-scale); Magnetic reconnection; Magnetic confinement; Inertial confinement.
Feng Xiao
Tokyo Institute of Technology School of Engineering Department of Mechanical Engineering and Science, Meguro-Ku Tokyo, Japan
Computational fluid dynamics; Interfacial multiphase flows; Compressible and incompressible flows; Unified approach; Finite volume method; Unstructured grids; Numerical modeling for geophysical fluid dynamics
Associate Editors
Dinshaw Balsara
University of Notre Dame, Notre Dame, Indiana, United States
Email Dinshaw Balsara
Computational physics; Computational astrophysics; High performance computation
Alvin Bayliss
Northwestern University, Evanston, Illinois, United States
Email Alvin Bayliss
Numerical methods for partial differential equations; Spectral and finite difference methods; Computational wave propagation
Liliana Borcea
University of Michigan Department of Mathematics, Ann Arbor, Michigan, United States
Email Liliana Borcea
Inverse problems, waves in random media, reduced order models
Juan Cheng
Institute of Applied Physics and Computational Mathematics, Beijing, China
Email Juan Cheng
Lagrangian and Arbitrary-Lagrangian-Eulerian (ALE) method for compressible hydrodynamics equations; Numerical method for radiation transfer equations; High order numerical method for hyperbolic conservation laws
Eric Darve
Stanford University, Stanford, California, United States
Email Eric Darve
Pierre Degond
Imperial College London, London, United Kingdom
Email Pierre Degond
Collective dynamics; self-organization; complex systems; biology; Social sciences; Analysis of partial differential equations; Asymptotic analysis; Multiscale numerical methods
Giacomo Dimarco
University of Ferrara Department of Mathematics and Computer Science, Ferrara, Italy
Email Giacomo Dimarco
Kinetic equations; Monte Carlo methods; Multiscale numerical methods; Collective dynamics; Self-Organization; Uncertainty quantification; Computational plasma Physics
Yalchin Efendiev
Texas A&M University Department of Mathematics, College Station, Texas, United States
Email Yalchin Efendiev
Expertise: Numerical analysis, Scientific Computing, Multiscale Simulation, Uncertainty Quantification
Ron Fedkiw
Stanford University, Stanford, California, United States
Email Ron Fedkiw
Solid-fluid coupling; Interfaces; Compressible flow; Incompressible flow
Frederic G. Gibou
University of California Santa Barbara, Santa Barbara, California, United States
Email Frederic G. Gibou
Level set methods; Finite difference/volume approximations of PDEs; Parallel computing
Jan Hesthaven
Federal Polytechnic School of Lausanne, Lausanne, Switzerland
Email Jan Hesthaven
Numerical methods for PDE’s; High-order methods; Absorbing boundary conditions; Reduced order modeling; Wave-problems; Conservation laws; Computational electromagnetics
Gianluca Iaccarino
Stanford University, Stanford, California, United States
Email Gianluca Iaccarino
Computational Fluid Dynamics; Immersed Boundary Methods; Uncertainty Quantification; Turbulence Modeling
Shi Jin
Shanghai Jiao Tong University - Fahua Campus, Shanghai, China
Email Shi Jin
Kinetic equations, hyperbolic conservation laws, quantum dynamics, high frequency waves, uncertainty quantification
George E. Karniadakis
Brown University, Providence, Rhode Island, United States
Email George E. Karniadakis
Stochastic multiscale methods; Uncertainty quantification; Fractional PDEs; Atomistic methods; Spectral and spectral element methods; Machine learning
Barry Koren
University of Technology Eindhoven, Eindhoven, Netherlands
Email Barry Koren
Scientific Computing; Computational Fluid Dynamics
Tony Lelievre
National College of Civil Engineering, Marne La Vallee, France
Email Tony Lelievre
Computational statistical physics, Rare event sampling, Free energy calculation, Metastability, Model Order Reduction, quantum Monte carlo methods, Free surface flow, Multiscale models of complex fluids
Li-Shi Luo
Old Dominion University, Norfolk, Virginia, United States
Email Li-Shi Luo
Kinetic methods for CFD (lattice Boltzmann equation, lattice gas automata, and gas-kinetic scheme); Kinetic theory and non-equilibrium statistical mechanics; non-equilibrium and complex fluids; DNS and LES of turbulence
Karel Matouš
University of Notre Dame, Notre Dame, Indiana, United States
Email Karel Matouš
Predictive computational science and engineering at multiple spatial and temporal scales including multi-physics interactions; Development of advanced numerical methods; High performance parallel computing.
Rajat Mittal
Johns Hopkins University, Baltimore, Maryland, United States
Email Rajat Mittal
Computational fluid dynamics; Biofluid dynamics; Fluid-structure interaction; Flow control; Biomimetics and immersed boundary methods
Parviz Moin
Stanford University, Stanford, California, United States
Email Parviz Moin
Computational fluid dynamics; High fidelity numerical simulation of multi-physics turbulent flows
Jim Morel
Texas A&M University College Station, College Station, Texas, United States
Email Jim Morel
Deterministic, Monte Carlo, and hybrid deterministic/Monte Carlo methods for neutral and charged-particle transport; Radiation-hydrodynamics methods
Jan Nordström
Linköping University, Linköping, Sweden
Email Jan Nordström
Initial boundary value problems; Boundary and interface conditions; High order methods; Well-posedness and stability; Wave and uncertainty propagation
Stanley Osher
University of California Los Angeles, Los Angeles, California, United States
Email Stanley Osher
Nonlinear hyperbolic equations; Level set methods; Image and information processing; Optimization
Jianxian Qiu
Xiamen University, Xiamen, China
Email Jianxian Qiu
Numerical solutions of conservation laws and in general convection dominated problems using: Finite difference essentially non-oscillatory (ENO) methods and weighted ENO (WENO) methods, Finite element discontinuous Galerkin methods (DG), Numerical solution of Hamilton-Jacobi type equations, Computational fluid dynamics, Simulations of multi-phase flow using DG and WENO method
Pierre Sagaut
Laboratory of Mechanics Modelling and Clean Processes, Marseille, France
Email Pierre Sagaut
Guglielmo Scovazzi
Duke University Department of Civil and Environmental Engineering, Durham, North Carolina, United States
Email Guglielmo Scovazzi
Finite element methods, Computational fluid and solid mechanics, Multiphase porous media flows, Computational methods for fluid and solid materials under extreme load conditions, Turbulent flow computations, Instability phenomena
Mikhail Shashkov
Los Alamos National Laboratory, Los Alamos, New Mexico, United States
Email Mikhail Shashkov
Modeling high-speed multi-material compressible flows; Meshing; PDE discretization methods; Interface Reconstruction
Chi-Wang Shu
Brown University, Providence, Rhode Island, United States
Email Chi-Wang Shu
Finite difference; Finite volume and finite element methods; Computational fluid dynamics
Piotr Smolarkiewicz
National Center for Atmospheric Research, Boulder, Colorado, United States
Email Piotr Smolarkiewicz
Scientific computing; Geophysical flows of all scales; Solar dynamo; Non-Newtonian fluids; Dynamics of continuous media
John A. Strain
University of California Berkeley, Berkeley, California, United States
Email John A. Strain
Huazhong Tang
Peking University, Beijing, China
Email Huazhong Tang
Tao Tang
Southern University of Science and Technology, Shenzhen, China
Email Tao Tang
Spectral and high order methods; Adaptive methods; Computational fluid dynamics.
Eli Turkel
Tel Aviv University, Tel Aviv, Israel
Email Eli Turkel
Fast acceleration algorithms for Navier Stokes; High order compact methods for wave equation in general shaped domains; Time Reversal for source and obstacle location; Reading ostraca from first Temple era
Karen Veroy-Grepl
RWTH Aachen University, Aachen, Germany
Email Karen Veroy-Grepl
Numerical methods for partial differential equations, Model order reduction and its use in optimization, Uncertainty quantification and data assimilation, as well as development and application of these methods for problems in medicine, Heat transfer, Solid and fluid mechanics and Multi-scale materials engineering.
Evgenii Vorozhtsov
Institute of Theoretical and Applied Mechanics named after Christianovich SB RAS, Novosibirsk, Russian Federation
Email Evgenii Vorozhtsov
Finite difference and finite volume methods for the Euler equations and for incompressible Navier-Stokes equations; Stability of difference schemes; Numerical grid generation; Immersed boundary methods; Application of computer algebra methods in CFD; postprocessing of the CFD results
Jens Honore Walther
Technical University of Denmark, Kongens(Kgs) Lyngby, Denmark
Email Jens Honore Walther
Dongbin Xiu
OHIO STATE UNIVERSITY, Columbus, Ohio, United States
Email Dongbin Xiu
Uncertainty quantification; Approximation theory; Data assimilation
Nicholas Zabaras
University of Warwick, Coventry, United Kingdom
Email Nicholas Zabaras
Stephane Zaleski
Sorbonne University, Paris, France
Email Stephane Zaleski
Volume-of-Fluid Method; Multiphase Flow; Surface Tension; Interface Tracking; Free Surface
Editors Emeriti
Jeremiah U. Brackbill
John Kileen
Phil L. Roe
Gretar Tryggvason