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A Neural Network Subgrid Model of the Early Stages of Planet Formation. (arXiv:2211.04160v1 [astro-ph.EP])
Nov. 9, 2022, 2:11 a.m. | Thomas Pfeil, Miles Cranmer, Shirley Ho, Philip J. Armitage, Tilman Birnstiel, Hubert Klahr
cs.LG updates on arXiv.org arxiv.org
Planet formation is a multi-scale process in which the coagulation of
$\mathrm{\mu m}$-sized dust grains in protoplanetary disks is strongly
influenced by the hydrodynamic processes on scales of astronomical units
($\approx 1.5\times 10^8 \,\mathrm{km}$). Studies are therefore dependent on
subgrid models to emulate the micro physics of dust coagulation on top of a
large scale hydrodynamic simulation. Numerical simulations which include the
relevant physical effects are complex and computationally expensive. Here, we
present a fast and accurate learned effective model …
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
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