6 citations · 9 across the 4 of their papers we have counts for
4 papers
ReLaTS: a Reinforcement Learning-based method for dynamically determining the coupling Time Step in multi-scale simulations of self-gravitating systems
Veronica Saz Ulibarrena, Simon Portegies Zwart
Astrophysical simulations frequently address multi-scale, multi-physics problems through subsystem decomposition, problem-tailored integration schemes, and coupling on fixed manual…
Reinforcement Learning for Adaptive Time-Stepping in the Chaotic Gravitational Three-Body Problem
Veronica Saz Ulibarrena, Simon Portegies Zwart
Many problems in astrophysics cover multiple orders of magnitude in spatial and temporal scales. While simulating systems that experience rapid changes in these conditions, it is e…
Individual chaotic behaviour of the S-stars in the Galactic centre
Sam J. Beckers, Colin M. Poppelaars, Veronica S. Ulibarrena +2
Located at the core of the Galactic Centre, the S-star cluster serves as a remarkable illustration of chaos in dynamical systems. The long-term chaotic behaviour of this system can…
A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks
Veronica Saz Ulibarrena, Philipp Horn, Simon Portegies Zwart +3
Simulating the evolution of the gravitational N-body problem becomes extremely computationally expensive as N increases since the problem complexity scales quadratically with the n…