The Journal of Computational Physics publishes research on numerical methods for solving scientific and engineering problems. Recent articles focus on developing and validating new schemes for partial differential equations, including hyperbolic conservation laws, Einstein-Euler equations, and diffusion processes. Topics include finite difference, discontinuous Galerkin, and neural operator methods, with applications in areas like numerical relativity, optimal control, and fluid dynamics.
Applied MathematicsNumerical AnalysisComputer Science ApplicationsComputational MathematicsModeling and SimulationPhysics and Astronomy (miscellaneous)
Research Topics (OpenAlex)
Computational Fluid Dynamics and AerodynamicsAdvanced Numerical Methods in Computational MathematicsFluid Dynamics and Turbulent FlowsLattice Boltzmann Simulation StudiesGas Dynamics and Kinetic TheoryElectromagnetic Simulation and Numerical MethodsNumerical methods for differential equationsModel Reduction and Neural NetworksElectromagnetic Scattering and AnalysisNumerical methods in engineering