Blue moon ensemble calculations: Difference between revisions

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The information needed to determine the blue moon ensemble averages within a [[:Category:Constrained molecular dynamics|Constrained molecular dynamics]] can be obtained by setting {{TAG|LBLUEOUT}}=.TRUE. The following output is written for each MD step in the file {{FILE|REPORT}}:
The information needed to determine the blue moon ensemble averages within a [[:Category:Constrained molecular dynamics|Constrained molecular dynamics]] can be obtained by setting {{TAG|LBLUEOUT}}=.TRUE., cf. [[Blue_moon_ensemble|blue moon ensemble]] for details of the theory. The following output is written for each MD step in the file {{FILE|REPORT}}:
   
   
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[[Category:Howto]]
[[Category:Advanced molecular-dynamics sampling]][[Category:Howto]]

Latest revision as of 10:00, 18 October 2024

The information needed to determine the blue moon ensemble averages within a Constrained molecular dynamics can be obtained by setting LBLUEOUT=.TRUE., cf. blue moon ensemble for details of the theory. The following output is written for each MD step in the file REPORT:

>Blue_moon
       lambda        |z|^(-1/2)    GkT           |z|^(-1/2)*(lambda+GkT)
  b_m>  0.585916E+01  0.215200E+02 -0.117679E+00  0.123556E+03


with the four numerical terms indicating , , , and , respectively.


Mind: is defined as in the REPORT file. This is an arbitrary character and has no relation to Green's functions, reciprocal lattice vectors, etc.

Note that one line introduced by the string 'b_m>' is written for each constrained coordinate. With this output, the free energy gradient with respect to the fixed coordinate can conveniently be determined (by the equation given above) as a ratio between averages of the last and the second numerical terms. In the simplest case when only one constraint is used, the free energy gradient can be obtained as follows:

grep b_m REPORT |awk 'BEGIN {a=0.;b=0.} {a+=$5;b+=$3} END {print a/b}'

As an example of a blue moon ensemble average, let us consider the calculation of an unbiased potential energy average from constrained MD. For simplicity, only a single constraint is assumed. Here we extract for each step and store the data in an auxiliary file zet.dat:

grep b_m REPORT |awk '{print $3}' > zet.dat

Here we extract potential energy for each step and store the data in an auxiliary file energy.dat:

grep e_b REPORT |awk '{print $3}' > energy.dat

Finally, the weighted average is determined according to the first formula shown above:

paste energy.dat zet.dat |awk 'BEGIN {a=0.;b=0.} {a+=$1*$2;b+=$2} END {print a/b}'