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*Amp* is an open-source package designed to easily bring machine-learning to atomistic calculations. This project is being developed at Brown University in the School of Engineering, primarily by Andrew Peterson and Alireza Khorshidi, and is released under the GNU General Public License. *Amp* allows for the modular representation of the potential energy surface, enabling the user to specify or create descriptor and regression methods. This project lives at: https://bitbucket.org/andrewpeterson/amp Documentation lives at: http://amp.readthedocs.org Users' mailing list lives at: https://listserv.brown.edu/?A0=AMP-USERS If you would like to compile a local version of the documentation, see the README file in the docs directory. *Corresponding author: andrew_peterson@brown.edu
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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