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11/28/2021
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body Problem
The gravitational N-body problem, which is fundamentally important in as...
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03/30/2020
Deep-learning enhancement of large scale numerical simulations
Traditional simulations on High-Performance Computing (HPC) systems typi...
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10/16/2019
Newton vs the machine: solving the chaotic three-body problem using deep neural networks
Since its formulation by Sir Isaac Newton, the problem of solving the eq...
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09/16/2019
Bonsai-SPH: A GPU accelerated astrophysical Smoothed Particle Hydrodynamics code
We present the smoothed-particle hydrodynamics simulation code, Bonsai-S...
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09/07/2018
Computational astrophysics for the future: An open, modular approach with agreed standards would facilitate astrophysical discovery
Scientific discovery is mediated by ideas that, after being formulated i...
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02/03/2018
Numerical verification of the microscopic time reversibility of Newton's equations of motion: Fighting exponential divergence
Numerical solutions to Newton's equations of motion for chaotic self gra...
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10/14/2015
