Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization

Publication date: Available online 28 September 2023Source: Journal of Computational PhysicsAuthor(s): Frederick Law, Antoine Cerfon, Benjamin Peherstorfer, Florian Wechsung Continue reading Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization

Data-driven reduced order modeling for parametric PDE eigenvalue problems using Gaussian process regression

Publication date: Available online 29 September 2023Source: Journal of Computational PhysicsAuthor(s): Fleurianne Bertrand, Daniele Boffi, Abdul Halim Continue reading Data-driven reduced order modeling for parametric PDE eigenvalue problems using Gaussian process regression

Physics-Informed Neural Networks for Approximating Dynamic (Hyperbolic) PDEs of Second Order in Time: Error Analysis and Algorithms

Publication date: Available online 4 October 2023Source: Journal of Computational PhysicsAuthor(s): Yanxia Qian, Yongchao Zhang, Yunqing Huang, Suchuan Dong Continue reading Physics-Informed Neural Networks for Approximating Dynamic (Hyperbolic) PDEs of Second Order in Time: Error Analysis and Algorithms

A kinetic energy and entropy preserving (KEEP) finite volume scheme on unstructured meshes for compressible flows

Publication date: Available online 4 October 2023Source: Journal of Computational PhysicsAuthor(s): Yuichi Kuya, Wataru Okumura, Keisuke Sawada Continue reading A kinetic energy and entropy preserving (KEEP) finite volume scheme on unstructured meshes for compressible flows