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{| class="wikitable" border="1" style="margin: 1em 1em 1em 1em;" width="650px"
{| class="wikitable" border="1" style="margin: 1em 1em 1em 1em;" width="650px"
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  | [[File:LR_full_R2.png| 620px]]
  | [[File:set3_DE_RMSD_B3LYP_6311G_NPA_cross_ideal_all-summary.pgn| 620px]]
  | [[File:LR_full_rmsd.png| 620px]]
  | [[File:set3_DE_RMSD_B3LYP_6311G_NPA_cross_ideal_all-O1.png| 620px]]
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  |colspan=2 |'''''Figure 2:''''' Detailed view of the '''LR''' parametrization settings for two distinct '''NEEMP''' executions differing in the best-performance selection metrics (''R<sup>2</sup>'' in left side image and ''RMSD'' in the right side image).
  |colspan=2 |'''''Figure 2:''''' Detailed view of the '''LR''' parametrization settings for two distinct '''NEEMP''' executions differing in the best-performance selection metrics (''R<sup>2</sup>'' in left side image and ''RMSD'' in the right side image).
  |}
  |}

Revision as of 16:46, 23 June 2016

All the graphs in NEEMP's article showing the correlation between reference charges and EEM charges, have been generated employing two python scripts, nut-report.py and nut.plot.py. The required input file must contain the charge statistics as shown in figure and can be obtained running NEEMP in calculation or quality validation mode with the option --chg-stats-out (see here for details).

Figure 8: Close-up from charge statistics file. Along with statistics for each molecule, ab-initio charges (3rd column), EEM charges (4th column) and their difference (5th column) are also printed out.

.

To generate the graphs the scripts must be called in the simple following way:

First:

  • ./nut-report.py charge-stat-file

Then:

  • ./nut-plot.py set01-data.csv colorful 5
  • ./nut-plot.py set01-data.csv blackwhite 5
  • ./nut-plot.py set01-data.csv colorfulbig 5
  • ./nut-plot.py set01-data.csv colorful-zoomed 5
  • ./nut-plot.py set01-data.csv blackwhite-zoomed 5
  • ./nut-plot.py set01-data.csv colorfulbig-zoomed 5

Figure and demonstrate as the correlation graphs include both all atom and individual atomic types dependency.

File:Set3 DE RMSD B3LYP 6311G NPA cross ideal all-summary.pgn
Figure 2: Detailed view of the LR parametrization settings for two distinct NEEMP executions differing in the best-performance selection metrics (R2 in left side image and RMSD in the right side image).