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WJG acknowledges financial support from the National Natural Science Foundation of China (NSFC), grant no.~22173060), the NSFC Fund for International Excellent Young Scientists (grant no.~22150610466), the Ministry of Science and Technology of the People's Republic of China (MOST) National Foreign Experts Program Fund (grant No.~ QN2021013001L), and the MOST Foreign Young Talents Program (grant no.~WGXZ2022006L). MET acknowledges support from the National Science Foundation (grant no. CHE-1955381). LV-M acknowledges support from the NYU University Research Challenge Fund. This project was supported in whole (or in part) by the NYU Shanghai Boost Fund.
The dataset and code used in paper”Machine Learning the Hohenberg-Kohn Map to Molecular Excited States” For detailed information of each file, see Readme.txt
| 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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