SIAM Journal on Scientific Computing

Papers
(The H4-Index of SIAM Journal on Scientific Computing is 21. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks417
Physics-Informed Neural Networks with Hard Constraints for Inverse Design185
Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks47
An Energy Stable and Maximum Bound Preserving Scheme with Variable Time Steps for Time Fractional Allen--Cahn Equation43
Adaptive Deep Learning for High-Dimensional Hamilton--Jacobi--Bellman Equations42
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?40
On a Novel Fully Decoupled, Second-Order Accurate Energy Stable Numerical Scheme for a Binary Fluid-Surfactant Phase-Field Model38
Stabilized Integrating Factor Runge--Kutta Method and Unconditional Preservation of Maximum Bound Principle37
Deep Splitting Method for Parabolic PDEs36
The Random Feature Model for Input-Output Maps between Banach Spaces36
Tensor Decomposition Methods for High-dimensional Hamilton--Jacobi--Bellman Equations34
Sparse Cholesky Factorization by Kullback--Leibler Minimization34
An Unfitted Hybrid High-Order Method with Cell Agglomeration for Elliptic Interface Problems30
Data-Driven Learning of Nonautonomous Systems28
MIONet: Learning Multiple-Input Operators via Tensor Product27
A Stabilizer-Free, Pressure-Robust, and Superconvergence Weak Galerkin Finite Element Method for the Stokes Equations on Polytopal Mesh26
The Direct Radial Basis Function Partition of Unity (D-RBF-PU) Method for Solving PDEs24
Stochastic Rounding and Its Probabilistic Backward Error Analysis24
A Random Batch Ewald Method for Particle Systems with Coulomb Interactions23
Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier22
Structure-Preserving, Energy Stable Numerical Schemes for a Liquid Thin Film Coarsening Model21
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