Machine learning as a tool in theoretical science
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy
Link
https://www.nature.com/articles/s42254-022-00431-9.pdf
Reference8 articles.
1. Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
2. Baek, M. et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science 373, 871–876 (2021).
3. Tamayo, D. et al. Predicting the long-term stability of compact multiplanet systems. Proc. Natl Acad. Sci. USA 117, 18194–18205 (2020).
4. Davies, A. et al. Advancing mathematics by guiding human intuition with AI. Nature 600, 70–74 (2021).
5. Cranmer, M. et al. A Bayesian neural network predicts the dissolution of compact planetary systems. Proc. Natl Acad. Sci. USA 118, e2026053118 (2021).
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