ML ISTART: Difference between revisions

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The following cases can be selected:
The following cases can be selected:
*{{TAG|ML_FF_ISTART}}=0: The training calculations are started from scratch without taking any existing data into considerations. Learning is executed.
*{{TAG|ML_FF_ISTART}}=0: The training calculations are started from scratch without taking any existing data into considerations. Learning is executed.
*{{TAG|ML_FF_ISTART}}=1: The program reads the training data stored in the {{TAG|ML_ABCAR}} file and restarts the training calculation. Learning is executed.
*{{TAG|ML_FF_ISTART}}=1: The program reads the training data stored in the {{TAG|ML_AB}} file and restarts the training calculation. Learning is executed.
*{{TAG|ML_FF_ISTART}}=2: The program reads the training data stored in the {{TAG|ML_ABCAR}} file and force field parameters stored in the {{TAG|ML_FFCAR}} file and executes calculations using the force field only. No learning is executed.
*{{TAG|ML_FF_ISTART}}=2: The program reads the training data stored in the {{TAG|ML_AB}} file and force field parameters stored in the {{TAG|ML_FF}} file and executes calculations using the force field only. No learning is executed.


== Related Tags and Sections ==
== Related Tags and Sections ==
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category:VASP6]]
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]]

Revision as of 10:54, 30 January 2020

ML_FF_ISTART = [integer]
Default: ML_FF_ISTART = 0 

Description: This tag decides if and how calculations are continued from existing data in machine learning force field method.


The following cases can be selected:

  • ML_FF_ISTART=0: The training calculations are started from scratch without taking any existing data into considerations. Learning is executed.
  • ML_FF_ISTART=1: The program reads the training data stored in the ML_AB file and restarts the training calculation. Learning is executed.
  • ML_FF_ISTART=2: The program reads the training data stored in the ML_AB file and force field parameters stored in the ML_FF file and executes calculations using the force field only. No learning is executed.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_W1_MB, ML_FF_W2_MB, ML_FF_WTOTEN, ML_FF_WTIFOR, ML_FF_WTSIF

Examples that use this tag