default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJournal of Computational Physics, Volume 496
Volume 496, January 2024
- Jonas A. Actor
, Xiaozhe Hu, Andy Huang, Scott A. Roberts, Nathaniel Trask:
Data-driven Whitney forms for structure-preserving control volume analysis. 112520 - Andrea La Spina, Jacob Fish:
A hybridizable discontinuous Galerkin formulation for the Euler-Maxwell plasma model. 112535 - Han Zhou, Wenjun Ying:
A correction function-based kernel-free boundary integral method for elliptic PDEs with implicitly defined interfaces. 112545
- Lulu Liu, Weiguo Gao, Han Yu, David E. Keyes:
Overlapping multiplicative Schwarz preconditioning for linear and nonlinear systems. 112548
- Pau Batlle, Matthieu Darcy, Bamdad Hosseini, Houman Owhadi:
Kernel methods are competitive for operator learning. 112549 - Shivang Agarwal, Amartya S. Banerjee:
Solution of the Schrödinger equation for quasi-one-dimensional materials using helical waves. 112551 - Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, Omar Ghattas:
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning. 112555 - Dianheng Jiang, Sheng Zhang, Yunpeng Li, Biaosong Chen, Na Li:
A hybrid Bloch mode synthesis method based on the free interface component mode synthesis method. 112556 - Bohyun Kim, Hangjie Ji, Andrea L. Bertozzi, Abolfazl Sadeghpour, Y. Sungtaek Ju:
A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber. 112560 - Kishan Ramesh Kumar, Matei Tene:
Algebraic multiscale grid coarsening using unsupervised machine learning for subsurface flow simulation. 112570 - Hang Yu, Carlos Pantano:
A regularized projection immersed boundary method for smooth boundary forces. 112571
- Gabriele Ciaramella, Laurence Halpern, Luca Mechelli:
Convergence analysis and optimization of a Robin Schwarz waveform relaxation method for time-periodic parabolic optimal control problems. 112572
- Thomas P. Prescott, David J. Warne, Ruth E. Baker:
Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation. 112577 - Hyeonbeen Lee, Seongji Han, Hee-Sun Choi, Jin-Gyun Kim:
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics. 112578 - Lee Lindblom, Oliver Rinne:
Building three-dimensional differentiable manifolds numerically II: Limitations. 112579 - Zhifang Du, Jiequan Li:
VOF method in two-stage fourth order time-stepping framework. 112580 - Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. 112581 - Christian Soize, Quy-Dong To:
Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate. 112582 - Friedemann Kemm:
New options for explicit all Mach number schemes by suitable choice of time integration methods. 112583 - Xiantao Fan, Jian-Xun Wang:
Differentiable hybrid neural modeling for fluid-structure interaction. 112584
- Axel Klawonn, Martin Lanser, Janine Weber:
Learning adaptive coarse basis functions of FETI-DP. 112587
- Joan Bruna, Benjamin Peherstorfer, Eric Vanden-Eijnden:
Neural Galerkin schemes with active learning for high-dimensional evolution equations. 112588 - Yuwei Geng, Yuankai Teng, Zhu Wang, Lili Ju:
A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators. 112589 - João Guilherme Caldas Steinstraesser, Pedro da Silva Peixoto, Martin Schreiber:
Parallel-in-time integration of the shallow water equations on the rotating sphere using Parareal and MGRIT. 112591 - Rémi Bourgeois, Pascal Tremblin, Samuel Kokh, Thomas Padioleau:
Recasting an operator splitting solver into a standard finite volume flux-based algorithm. The case of a Lagrange-projection-type method for gas dynamics. 112594 - Juan Cheng, Nuo Lei, Chi-Wang Shu:
High order conservative Lagrangian scheme for three-temperature radiation hydrodynamics. 112595 - Veronica Saz Ulibarrena, Philipp Horn, Simon Portegies Zwart, Elena Sellentin, Barry Koren, Maxwell X. Cai:
A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks. 112596 - Alberto Padovan, Clarence W. Rowley:
Continuous-time balanced truncation for time-periodic fluid flows using frequential Gramians. 112597 - Yuepeng Wang, Jie Li, Wenju Zhao, I. M. Navon, Guang Lin:
Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations. 112600 - Evgenii V. Vorozhtsov, Sergey P. Kiselev:
An efficient method of finding new symplectic schemes for Hamiltonian mechanics problems with the aid of parametric Gröbner bases. 112601 - Yifan Wang, Linlin Zhong:
NAS-PINN: Neural architecture search-guided physics-informed neural network for solving PDEs. 112603 - Jacob Rains, Yi Wang, Alec House, Andrew L. Kaminsky, Nathan A. Tison, Vamshi M. Korivi:
Constrained optimized dynamic mode decomposition with control for physically stable systems with exogeneous inputs. 112604 - Kieran Ricardo, David Lee, Kenneth Duru:
Entropy and energy conservation for thermal atmospheric dynamics using mixed compatible finite elements. 112605 - Andrés M. Rueda-Ramírez, Gregor J. Gassner:
A flux-differencing formula for split-form summation by parts discretizations of non-conservative systems: Applications to subcell limiting for magneto-hydrodynamics. 112607
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-09-18 23:39 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
