Research data for "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning"
Morrow, Joe; Ugwumadu, Chinonso; Drabold, David; Eliott, Stephen; Goodwin, Andrew; Deringer, Volker;
Research data for "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning"
This dataset contains structural data and ML local energies for the publication "Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine Learning". Details of the contents can be found in README.txt. Code to analyse structures and reproduce figures from the publication are available at https://github.com/MorrowChem/understanding_defects
- University of Oxford United Kingdom
- Ohio University United States
- University System of Ohio United States
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
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
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