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Found 5 papers, 3 papers with code
Physics simulation capabilities of LLMs
Physics and coding errors are the most common, with some unnecessary or insufficient lines.
A Large Repository of 3D Climate Model Outputs for Community Analysis and Postprocessing
We will continue to add models to this repository in the future, including more than 1000 models in the short- to medium-term future, expanding the diversity of climates represented therein.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
Predicting the long-term stability of compact multiplanet systems
Our Stability of Planetary Orbital Configurations Klassifier (SPOCK) predicts stability using physically motivated summary statistics measured in integrations of the first $10^4$ orbits, thus achieving speed-ups of up to $10^5$ over full simulations.
Earth and Planetary Astrophysics
Automated crater shape retrieval using weakly-supervised deep learning
Manual validation of a subset of these "new" craters indicates that a majority of them are real, which we take as an indicator of the strength of our model in learning to identify craters, despite incomplete training data.
Lunar Crater Identification via Deep Learning
Crater counting on the Moon and other bodies is crucial to constrain the dynamical history of the Solar System.
Earth and Planetary Astrophysics
