2 papers
math.NA2026
Learning Deterministic and Stochastic Forced Hamiltonian Systems
Benedikt Brantner, Tomasz Tyranowski
We develop a geometric framework for learning deterministic and stochastic forced Hamiltonian systems with neural networks. Motivated by the Lagrange-d'Alembert principle and the t…
physics.plasm-ph2024
High-order stochastic integration schemes for the Rosenbluth-Trubnikov collision operator in particle simulations
Zhixin Lu, Guo Meng, Tomasz Tyranowski +1
In this study, we consider a numerical implementation of the nonlinear Rosenbluth-Trubnikov collision operator for particle simulations in plasma physics in the framework of the fi…