Karagiorgi, Georgia, Kasieczka, Gregor, Kravitz, Scott, Nachman, Benjamin, and Shih, David. Machine learning in the search for new fundamental physics. Retrieved from https://par.nsf.gov/biblio/10338859. Nature Reviews Physics 4.6 Web. doi:10.1038/s42254-022-00455-1.
Karagiorgi, Georgia, Kasieczka, Gregor, Kravitz, Scott, Nachman, Benjamin, & Shih, David. Machine learning in the search for new fundamental physics. Nature Reviews Physics, 4 (6). Retrieved from https://par.nsf.gov/biblio/10338859. https://doi.org/10.1038/s42254-022-00455-1
@article{osti_10338859,
place = {Country unknown/Code not available},
title = {Machine learning in the search for new fundamental physics},
url = {https://par.nsf.gov/biblio/10338859},
DOI = {10.1038/s42254-022-00455-1},
abstractNote = {},
journal = {Nature Reviews Physics},
volume = {4},
number = {6},
author = {Karagiorgi, Georgia and Kasieczka, Gregor and Kravitz, Scott and Nachman, Benjamin and Shih, David},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.