SIAM Journal on Scientific Computing

Papers
(The TQCC of SIAM Journal on Scientific Computing is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
A Massively Parallel Eulerian-Lagrangian Method for Advection-Dominated Transport in Viscous Fluids148
Solving High-Dimensional Kolmogorov Backward Equations with Functional Hierarchical Tensor Operators93
Stencil Composition for Finite Difference Approximations of Partial Differential Equations87
Randomized Sketched TT-GMRES for Linear Systems with Tensor Structure54
Optimization of Hopf Bifurcation Points41
Hierarchical Low-Rank Arithmetic with Floating Point Compression39
A New Rational Approximation Algorithm via the Empirical Interpolation Method36
Polynomial Chaos Expansions for Stiff Random ODEs35
Structured and Balanced Multicomponent and Multilayer Neural Networks33
Globally Convergent Multilevel Training of Deep Residual Networks29
Fast and Scalable FFT-Based GPU-Accelerated Algorithms for Block-Triangular Toeplitz Matrices with Application to Linear Inverse Problems Governed by Autonomous Dynamical Systems29
Robust Monolithic Solvers for the Stokes--Darcy Problem with the Darcy Equation in Primal Form28
A Semi-Implicit Fully Exactly Well-Balanced Relaxation Scheme for the Shallow Water System28
Geometrically Higher Order Unfitted Space-Time Methods for PDEs on Moving Domains27
An Energy Stable $C^0$ Finite Element Scheme for A Phase-Field Model of Vesicle Motion and Deformation26
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach26
A New Approach for Designing Well-Balanced Schemes for the Shallow Water Equations: A Combination of Conservative and Primitive Formulations25
Reformulated Weak Formulation and Efficient Fully Discrete Finite Element Method for a Two-Phase Ferrohydrodynamics Shliomis Model25
Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs24
Optimized Schwarz Methods for Biharmonic Equations23
Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions23
Optimized Schwarz Waveform Relaxation Methods for the Telegrapher Equation23
Simultaneous Computational and Data Load Balancing in Distributed-Memory Setting23
Stability Theory of TASE–Runge–Kutta Methods with Inexact Jacobian22
Spectral Approximation of Convolution Operators of Fredholm Type22
On High-Order/Low-Order and Micro-Macro Methods for Implicit Time-Stepping of the BGK Model21
Computing \(\boldsymbol{H}^{\boldsymbol{2}}\)-Conforming Finite Element Approximations Without Having to Implement \(\boldsymbol{C}^{\boldsymbol{1}}\)-Elements21
nuGPR: GPU-Accelerated Gaussian Process Regression with Iterative Algorithms and Low-Rank Approximations21
A Deep Learning Method for Computing Committor Functions with Adaptive Sampling20
Adaptive Precision Sparse Matrix–Vector Product and Its Application to Krylov Solvers20
Explicit Stabilized Multirate Method for Stiff Stochastic Differential Equations20
Energetic Variational Neural Network Discretizations of Gradient Flows20
Shape Optimization of Slip-Driven Axisymmetric Microswimmers19
Geometric Integration of ODEs Using Multiple Quadratic Auxiliary Variables19
Second-Order Flows for Approaching Stationary Points of a Class of Nonconvex Energies via Convex-Splitting Schemes19
High-Order Adaptive Rank Integrators for Multiscale Linear Kinetic Transport Equations in the Hierarchical Tucker Format19
Transformed Primal-Dual Methods with Variable Preconditioners19
New SISC Section on Scientific Machine Learning19
Backward Diffusion-Wave Problem: Stability, Regularization, and Approximation19
A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear Systems18
Strongly Imposing the Free Surface Boundary Condition for Wave Equations with Finite Difference Operators18
Local Compatibility Boundary Conditions for High-Order Accurate Finite-Difference Approximations of PDEs18
Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations18
An Energy-Based, Always Index $\leq$ 1 and Structurally Amenable Electrical Circuit Model17
Multigrid Methods Using Block Floating Point Arithmetic17
Functional Tensor Singular Value Decomposition17
On Thermodynamically Compatible Finite Volume Schemes for Continuum Mechanics17
Deep Learning without Global Optimization by Random Fourier Neural Networks17
Superfast Direct Inversion of the Nonuniform Discrete Fourier Transform via Hierarchically Semiseparable Least Squares16
Data-Driven Closures and Assimilation for Stiff Multiscale Random Dynamics16
Two Conjectures on the Stokes Complex in Three Dimensions on Freudenthal Meshes16
Computing Weak Distance between the 2-Sphere and Its Nonsmooth Approximations16
Learning WENO for Entropy Stable Schemes to Solve Conservation Laws16
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance15
Multilevel Regularized Newton Methods with Fast Convergence Rates15
Rounding-Error Analysis of Multigrid \({V}\)-Cycles15
A Parallel Iterative Probabilistic Method for Mixed Problems of Laplace Equations with the Feynman--Kac Formula of Killed Brownian Motions15
A Second-Order Bound-Preserving Exponential Scheme for Degenerate Parabolic Equations15
A Linearly Implicit Spectral Scheme for the Three-Dimensional Hall-MHD System15
Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion15
Randomized Block Gram–Schmidt Process for the Solution of Linear Systems and Eigenvalue Problems15
Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations15
PLSS: A Projected Linear Systems Solver14
Parallel Newton--Krylov BDDC and FETI-DP Deluxe Solvers for Implicit Time discretizations of the Cardiac Bidomain Equations14
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition14
Approximation Error Analysis of Some Deep Backward Schemes for Nonlinear PDEs14
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation14
On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs14
A Numerical Scheme for Wave Turbulence: 3-Wave Kinetic Equations14
Active Neuron Least Squares: A Training Method for Multivariate Rectified Neural Networks14
SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems14
A Robust Algebraic Multilevel Domain Decomposition Preconditioner for Sparse Symmetric Positive Definite Matrices14
A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking13
Monte Carlo–Moments Micro-Macro Parareal Method for Unimodal and Bimodal Scalar McKean–Vlasov SDEs13
Flow in Porous Media with Fractures of Varying Aperture13
Enhancing Block Cimmino for Sparse Linear Systems with Dense Columns via Schur Complement13
A Shape-Newton Approach to the Problem of Covering with Identical Balls13
Erratum: Spectral Analysis of Implicit \(\boldsymbol{s}\)-Stage Block Runge–Kutta Preconditioners13
Time-Domain Iterative Rational Krylov Method13
Energy-Stable and Mesh-Preserving Parametric FEM for Mean Curvature Flow of Surfaces13
Rational Function Approximation with Normalized Positive Denominators13
\(\text{PIN}^{\mathcal L}\) : Preconditioned Inexact Newton with Learning Capability for Nonlinear System of Equations13
Fredholm Neural Networks12
Frequency Extraction for BEM Matrices Arising From the 3D Scalar Helmholtz Equation12
Closed Form Optimized Transmission Conditions for Complex Diffusion with Many Subdomains12
Multilevel Particle Filters for a Class of Partially Observed Piecewise Deterministic Markov Processes12
Bound-Preserving and Positivity-Preserving Analysis of Direct Arbitrary Lagrangian-Eulerian Finite Volume Scheme for Compressible Two-Medium Flows with Stiffened Gas Equation of State12
Spectral Deferred Correction Methods for Second-Order Problems12
Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems12
Eulerian--Lagrangian Runge--Kutta Discontinuous Galerkin Method for Transport Simulations on Unstructured Meshes12
Approximating the Shape Operator with the Surface Hellan–Herrmann–Johnson Element12
A Decoupling and Linearizing Discretization for Weakly Coupled Poroelasticity with Nonlinear Permeability12
A Numerical Domain Decomposition Method for Solving Elliptic Equations on Manifolds12
Data-Driven Algorithms for Signal Processing with Trigonometric Rational Functions12
Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces12
An Implicit Well-Posed Lagrangian Scheme for Nonviscous Compressible Fluids in High Dimension11
A Nonnested Augmented Subspace Method for the Poisson–Boltzmann Equation11
Streaming Tensor Train Approximation11
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part I: Single-Level Approximation11
Efficient Prior Calibration from Indirect Data11
SOTT: Greedy Approximation of a Tensor as a Sum of Tensor Trains11
Modified TASE Runge–Kutta Methods for Integrating Stiff Differential Equations11
To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems11
Deep Ritz Method for the Spectral Fractional Laplacian Equation Using the Caffarelli--Silvestre Extension11
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design11
A Robin-Type Domain Decomposition Method for a Novel Mixed-Type DG Method for the Coupled Stokes--Darcy Problem11
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part II: Multilevel Approximation11
A Multiscale Hybrid Method11
Deflation Techniques for Finding Multiple Local Minima of a Nonlinear Least Squares Problem11
PETSc TSAdjoint: A Discrete Adjoint ODE Solver for First-Order and Second-Order Sensitivity Analysis11
Special Section: 2022 Copper Mountain Conference on Iterative Methods11
High Order Complex Contour Discretization Methods to Simulate Scattering Problems in Locally Perturbed Periodic Waveguides11
A Strongly Mass Conservative Method for the Coupled Brinkman-Darcy Flow and Transport11
A Divergence Preserving Cut Finite Element Method for Darcy Flow11
A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs10
A Spectrally Accurate Numerical Method for Computing the Bogoliubov--de Gennes Excitations of Dipolar Bose--Einstein Condensates10
A Numerical Method for the Stability Analysis of Linear Age-Structured Models with Nonlocal Diffusion10
Cut Finite Element Discretizations of Cell-by-Cell EMI Electrophysiology Models10
Fast Multigrid Reduction-in-Time for Advection via Modified Semi-Lagrangian Coarse-Grid Operators10
A Stable One-Synchronization Variant of Reorthogonalized Block Classical Gram–Schmidt10
MGIC: Multigrid-in-Channels Neural Network Architectures10
Additive Schwarz Methods for Semilinear Elliptic Problems with Convex Energy Functionals: Convergence Rate Independent of Nonlinearity10
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton–Jacobi–Bellman Equations10
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference10
On Non-Hermitian Positive (Semi)Definite Linear Algebraic Systems Arising from Dissipative Hamiltonian DAEs10
Parameter-Robust Preconditioning for Hybridizable Symmetric Discretizations10
Energy-Stable and Linearly Well-Balanced Numerical Schemes for the Nonlinear Shallow Water Equations with the Coriolis Force10
Vectorization of a Thread-Parallel Jacobi Singular Value Decomposition Method10
On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data10
Consensus-Based Rare Event Estimation10
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective10
Separable Physics-Informed Neural Networks for Solving the BGK Model of the Boltzmann Equation10
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices10
On a Class of Multifidelity Methods for the Semiclassical Schrödinger Equation with Uncertainties9
Improving Greedy Algorithms for Rational Approximation9
Finite Element-Based Space-Time Total-Variation-Type Regularization of the Inverse Problem in Electrocardiographic Imaging9
Numerical Reparametrization of Periodic Planar Curves Via Curvature Interpolation9
Optimized Schwarz Methods for the Cahn–Hilliard Equation9
Selecting Regularization Parameters for Nuclear Norm--Type Minimization Problems9
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica9
Observability and Effective Region of Partial Differential Equations with Application to Data Assimilation9
Sub-ODEs Simplify Taylor Series Algorithms for Ordinary Differential Equations9
A Riemannian Dimension-Reduced Second-Order Method with Application in Sensor Network Localization9
A Two-Dimensional Stabilized Discontinuous Galerkin Method on Curvilinear Embedded Boundary Grids9
High-Performance Matrix-Free Unfitted Finite Element Operator Evaluation9
Finite Time Horizon Mixed Control of Vibrational Systems9
A Low-Memory Lanczos Method with Rational Krylov Compression for Matrix Functions9
Convolution Quadratures Based on Block Generalized Adams Methods9
Probabilistic Error Analysis of Limited-Precision Stochastic Rounding9
A Grid-Overlay Finite Difference Method for the Fractional Laplacian on Arbitrary Bounded Domains9
Evolution of Nonlinear Reduced-Order Solutions for PDEs with Conserved Quantities9
Hamiltonian-Preserving Discontinuous Galerkin Methods for the Liouville Equation With Discontinuous Potential9
A Narrow Band Finite Element Method for the Level Set Equation9
Nehari Manifold Optimization and Its Application for Finding Unstable Solutions of Semilinear Elliptic PDEs9
Convergence Analysis of BDDC Preconditioners for Composite DG Discretizations of the Cardiac Cell-By-Cell Model8
Conditional A Posteriori Error Bounds for High Order Discontinuous Galerkin Time Stepping Approximations of Semilinear Heat Models with Blow-up8
APTT: Accuracy-Preserved Tensor-Train Method for the Boltzmann-BGK Equation8
Active Flux Methods for Hyperbolic Conservation Laws—Flux Vector Splitting and Bound-Preservation8
A Globally Convergent Numerical Method for a 3D Coefficient Inverse Problem for a Wave-Like Equation8
Local Fourier Analysis of p-Multigrid for High-Order Finite Element Operators8
Overlapping Domain Decomposition Preconditioner for Integral Equations8
An Implementation of Tensor Product Patch Smoothers on GPUs8
Efficient Solution of Parameter Identification Problems with \(H^1\) Regularization8
Study of a New Low-Oscillating Second-Order All-Mach Number IMEX Finite Volume Scheme for the Full Euler Equations8
Systematic Construction of Continuous-Time Neural Networks for Linear Dynamical Systems8
Local MALA-within-Gibbs for Bayesian Image Deblurring with Total Variation Prior8
Scalable Local Timestepping on Octree Grids8
A Multilevel Method for Many-Electron Schrödinger Equations Based on the Atomic Cluster Expansion8
A Highly Accurate Perfectly-Matched-Layer Boundary Integral Equation Solver for Acoustic Layered-Medium Problems8
Enhanced MultiResolution Analysis for MultiDimensional Data Utilizing Line Filtering Techniques8
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations8
Fully Discrete Energy-Dissipative and Conservative Discrete Gradient Particle Methods for a Class of Continuity Equations8
New Optimized Robin--Robin Domain Decomposition Methods using Krylov Solvers for the Stokes--Darcy System8
A Multigrid Reduction Framework for Domains with Symmetries8
Numerical Solutions of Quasilinear Parabolic Problems by a Continuous Space-Time Finite Element Scheme8
Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds8
A Neural Multigrid Solver for Helmholtz Equations with High Wavenumber and Heterogeneous Media8
Structure-Preserving Neural Networks in Data-Driven Rheological Models8
A Fast Front-Tracking Approach and Its Analysis for a Temporal Multiscale Flow Problem with a Fractional Order Boundary Growth8
Asymptotically Constant-Free and Polynomial-Degree-Robust a Posteriori Estimates for Space Discretizations of the Wave Equation8
Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations8
Fast $L^2$ Optimal Mass Transport via Reduced Basis Methods for the Monge--Ampère Equation8
Asynchronous Multiplicative Coarse-Space Correction8
Multirate Partially Explicit Scheme for Multiscale Flow Problems8
Introducing Time Parallelization Within Data Assimilation8
An Iterative Reduction FISTA Algorithm for Large-Scale LASSO8
A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using a Physics-Informed Neural Network8
An Algebraic Multigrid Method for Oseen Problems7
A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data7
Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments7
Lightning Stokes Solver7
Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems7
TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems7
Convergence of Splitting Methods on Rotating Grids for the Magnetized Vlasov Equation7
Discovery of Linear Representations for Nonautonomous Translation-Invariant Problems7
Error Bound Analysis of the Stochastic Parareal Algorithm7
BDDC Preconditioners for Virtual Element Approximations of the Three-Dimensional Stokes Equations7
Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations7
Exact Simulation of the Multifactor Ornstein–Uhlenbeck Driven Stochastic Volatility Model7
Adaptive Grids in the Context of Algebraic Stabilizations for Convection-Diffusion-Reaction Equations7
Adaptive Data-Driven Probabilistic Reduced-Order Models for Parameterized Dynamical Systems7
Robust Radial Basis Function Interpolation Based on Geodesic Distance for the Numerical Coupling of Multiphysics Problems7
A Shape Newton Scheme for Deforming Shells with Application to Capillary Bridges7
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling7
A Gradient Flow Model for Ground State Calculations in Wigner Formalism Based on Density Functional Theory7
An Efficient Unconditionally Stable Method for Dirichlet Partitions in Arbitrary Domains7
Multiscale Method and Convergence Analysis for Coupled Nonlinear Thermomechanical Problems in Heterogeneous Shells7
An Orthogonalization-Free Parallelizable Framework for All-Electron Calculations in Density Functional Theory7
Randomized Quaternion Singular Value Decomposition for Low-Rank Matrix Approximation7
Efficient N-to-M Checkpointing Algorithm for Finite Element Simulations7
Making the Nyström Method Highly Accurate for Low-Rank Approximations7
Multirate Exponential Rosenbrock Methods7
Element-wise Multiplication of Tensor Trains7
Improving Control Based Importance Sampling Strategies for Metastable Diffusions via Adapted Metadynamics6
Implicit Adaptive Mesh Refinement for Dispersive Tsunami Propagation6
Linearly Implicit Multistep Methods for Time Integration6
Genetic Column Generation for Computing Lower Bounds for Adversarial Classification6
Structure-Aware Analyses and Algorithms for Interpolative Decompositions6
A Systematic Approach to Constructing Preconditioners for the $hp$-Version Mass Matrix on Unstructured and Hybrid Finite Element Meshes6
Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier6
Adaptive Stepsize Algorithms for Langevin Dynamics6
Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces6
Fourth-Order Entropy-Stable Lattice Boltzmann Schemes for Hyperbolic Systems6
State Estimation with Model Reduction and Shape Variability. Application to biomedical problems6
Nonlinearly Constrained Pressure Residual (NCPR) Algorithms for Fractured Reservoir Simulation6
Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data6
Solving the Boltzmann Equation with a Neural Sparse Representation6
Mitigating Distribution Shift in Machine Learning–Augmented Hybrid Simulation6
A Preconditioned Krylov Subspace Method for Linear Inverse Problems with General-Form Tikhonov Regularization6
BDDC Deluxe Algorithms for Two-Dimensional H($curl$) Isogeometric Analysis6
Efficient Fully Discrete Finite Element Scheme for the Ferrohydrodynamic Rosensweig Model and Simulations of Ferrofluid Rotational Flow Problems6
Faster Randomized Partial Trace Estimation6
Row Replicated Block Cimmino6
Rapid Evaluation of Newtonian Potentials on Planar Domains6
A High-Order Discontinuous Galerkin Method for the Poro-elasto-acoustic Problem on Polygonal and Polyhedral Grids6
IMEX Hermite–Galerkin Spectral Method for Incompressible Hall-Magnetohydrodynamic Flow with Variable Density6
An Adaptive Sampling and Domain Learning Strategy for Multivariate Function Approximation on Unknown Domains6
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms6
A Direct Probing Method of an Inverse Problem for the Eikonal Equation6
Leveraging GPU Batching for Scalable Nonlinear Programming through Massive Lagrangian Decomposition6
Medical Image Registration Using Optimal Control of a Linear Hyperbolic Transport Equation with a DG Discretization6
Third-Order Sectorially A-Stable Alternating Implicit Runge–Kutta Schemes6
Optimizing Coarse Propagators in Parareal Algorithms6
A Parallel Rank-Adaptive Integrator for Dynamical Low-Rank Approximation6
On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond6
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning6
Analysis of Schwarz Methods for Convected Helmholtz-Like Equations6
Solution Decomposition for the Nonlinear Poisson–Boltzmann Equation Using the Range-Separated Tensor Format6
A Parallel Domain Decomposition Method for Solving Elliptic Equations on Manifolds6
Enhancing Reproducibility of Research Papers in SISC, JSC, and JCP6
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