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ZENODO
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ZENODO
Dataset . 2021
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AtoMF Features obtained from Three sets of Quantum Chemistry Calculations of Nanoclusters.

Authors: Johnatan Mucelini; Marcos G. Quiles; Ronaldo C. Prati; Juarez L. F. Da Silva;

AtoMF Features obtained from Three sets of Quantum Chemistry Calculations of Nanoclusters.

Abstract

We present here AtoMF features for three sets of quantum chemistry calculations of nanoclusters. These features were obtained with the Atomic to Molecular Featurizaiton (AtoMF) process, which we recently developed (DOI: 10.1021/acs.jcim.0c01267) and allows you to easily obtain physical-meaningful features employing atomic features. We should publish a paper describing these features and a framework to facilitate get insights from them. If the paper was already published, you can find it on my personal website. The code employed to create both the featurization process and the framework to analyze it is available on GitHub. The nanoclusters from which we obtained the AtoMF features were PtnTM55–n, CenZr15–nO30, and (CHn+mH)/TM13, which were calculated in the papers with the following DOIs 10.1021/acs.jpcc.9b09561, 10.1039/C9CP04762J, 10.1016/j.fuel.2020.117790, respectively. Files: final_PtTM0_ok.json : present the data for the PtnTM55–n structures. final_PtTM0_ok.pdf : present a description for each column of final_PtTM0_ok.json. final_CeO2ZrO2_ok.json : present the data for the CenZr15–nO30 structures. final_CeO2ZrO2_ok.pdf : present a description for each column of final_CeO2ZrO2_ok.json. final_CHnTM_ok.json : present the data for the (CHn+mH)/TM13 structures. final_CHnTM_ok.pdf : present a description for each column of final_CHnTM_ok.json. If you use the data or code, please cite us! DOI: 10.1021/acs.jcim.0c01267.

Keywords

Data Mining, Nanoclusters, Quantum Chemistry, DFT, Nanomaterials

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selected citations
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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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