Published January 28, 2021 | Version 1.0.0
Dataset Open

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

  • 1. São Carlos Institute of Chemistry, University of São Paulo, São Carlos, SP, Brazil
  • 2. Department of Science and Technology, Federal University of São Paulo, São José dos Campos, SP, Brazil
  • 3. Center for Mathematics, Computation and Cognition, Federal University of ABC, Santo André, SP, Brazil

Description

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.

Files

final_CeO2ZrO2_ok.json

Files (32.5 MB)

Name Size Download all
md5:234a7cbd6ff3188d4ad48824074772e8
22.9 MB Preview Download
md5:ea22e338eb0c8cdd9f8eef456741d161
98.7 kB Preview Download
md5:617de8c2c4966e7062fb0a345c495bf2
5.4 MB Preview Download
md5:9f0f8f2b9c1c6a23a3a4f6929a626962
82.6 kB Preview Download
md5:fffb5a98fd84a88864e3066f99969bf8
3.8 MB Preview Download
md5:7e32a0bcbcc7f3c0890e6b9253e0a111
84.7 kB Preview Download

Additional details

Related works

References
Journal article: 10.1021/acs.jpcc.9b09561 (DOI)
Journal article: 10.1039/C9CP04762J (DOI)
Journal article: 10.1016/j.fuel.2020.117790 (DOI)