A correction function-based kernel-free boundary integral method for elliptic PDEs with implicitly defined interfaces
Publication date: Available online 27 October 2023Source: Journal of Computational PhysicsAuthor(s): Han Zhou, Wenjun Ying
NAS-PINN: Neural architecture search-guided physics-informed neural network for solving PDEs
Publication date: Available online 27 October 2023Source: Journal of Computational PhysicsAuthor(s): Yifan Wang, Linlin Zhong
A hybrid approach for solving the gravitational <em>N</em>-body problem with Artificial Neural Networks
Publication date: Available online 26 October 2023Source: Journal of Computational PhysicsAuthor(s): Veronica Saz Ulibarrena, Philipp Horn, Simon Portegies Zwart, Elena Sellentin, Barry Koren, Maxwell X. Cai
Neural Galerkin schemes with active learning for high-dimensional evolution equations
Publication date: Available online 24 October 2023Source: Journal of Computational PhysicsAuthor(s): Joan Bruna, Benjamin Peherstorfer, Eric Vanden-Eijnden
Recasting an operator splitting solver into a standard finite volume flux-based algorithm. The case of a Lagrange-Projection-type method for gas dynamics
Publication date: Available online 24 October 2023Source: Journal of Computational PhysicsAuthor(s): Rémi Bourgeois, Pascal Tremblin, Samuel Kokh, Thomas Padioleau
Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate
Publication date: Available online 25 October 2023Source: Journal of Computational PhysicsAuthor(s): Christian Soize, Quy-Dong To
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics
Publication date: Available online 24 October 2023Source: Journal of Computational PhysicsAuthor(s): Hyeonbeen Lee, Seongji Han, Hee-Sun Choi, Jin-Gyun Kim
New options for explicit all Mach number schemes by suitable choice of time integration methods
Publication date: Available online 23 October 2023Source: Journal of Computational PhysicsAuthor(s): Friedemann Kemm
Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation
Publication date: Available online 23 October 2023Source: Journal of Computational PhysicsAuthor(s): Thomas P. Prescott, David J. Warne, Ruth E. Baker
Algebraic multiscale grid coarsening using unsupervised machine learning for subsurface flow simulation
Publication date: Available online 24 October 2023Source: Journal of Computational PhysicsAuthor(s): Kishan Ramesh Kumar, Matei Tene