AI Astrobiology Modeling & Simulation
NEW LITERATURE ADDED REGULARLY
2023:
Using a neural network approach to accelerate disequilibrium chemistry calculations in exoplanet atmospheres. 2023, Hendrix, J. L. A. M et al. Monthly Notices of the Royal Astronomical Society.
https://doi.org/10.1093/mnras/stad1763
Keywords: Exoplanets, Modeling, Neural Nets
Exoplanet atmosphere evolution: emulation with neural networks. 2023, Rogers, J. G. et al. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stad089
Keywords: Exoplanets, Neural Nets, Inference, Emulation
2022:
Machine learning in evolutionary studies comes of age. 2022, Callier, V. PNAS.
https://www.pnas.org/doi/full/10.1073/pnas.2205058119
Keywords: Evolution, Genomics
2021:
On the Opportunities and Risks of Foundation Models. 2021, Bommasani, R. et al. arXiv.
https://arxiv.org/abs/2108.07258
Keywords: Foundation Models, Society, Policy, and Ethics
2020:
Machine-learning Prediction of Infrared Spectra of Interstellar Polycyclic Aromatic Hydrocarbons. 2020, Kovács, P. et al. The Astrophysical Journal.
https://iopscience.iop.org/article/10.3847/1538-4357/abb5b6
Keywords: Astrochemistry, Modeling, Neural Nets, Random Forests
2017:
Attention Is All You Need. 2017, Vaswani, A. et al. Advances in Neural Information Processing Systems.
https://doi.org/10.48550/arXiv.1706.03762
Keywords: Transformer, Deep Learning, Attention Mechanism, Natural Language Translation
2016:
A machine learns to predict the stability of tightly packed planetary systems. 2016,Tamayo, D. et al. The Astrophysical Journal Letters.
https://iopscience.iop.org/article/10.3847/2041-8205/832/2/L22
Keywords: Exoplanets, Forecasting, Classification, Decision Trees