Slow-growth approach: Difference between revisions
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can be computed as: | can be computed as: | ||
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w^{irrev}_{1 \rightarrow 2}=\int_{{\xi(1)}}^{{\xi(2)}} \left ( \frac{\partial {V(q)}} {\partial \xi} \right ) \cdot \dot{\xi}\, dt. | w^{irrev}_{1 \rightarrow 2}=\int_{{\xi(1)}}^{{\xi(2)}} \left ( \frac{\partial {V(q)}} {\partial \xi} \right ) \cdot \dot{\xi}\, dt. | ||
</math> | </math> | ||
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to the free energy via Jarzynski's identity<ref name="jarzynski1997"/>: | to the free energy via Jarzynski's identity<ref name="jarzynski1997"/>: | ||
<math> | ::<math> | ||
exp^{-\frac{\Delta A_{1 \rightarrow 2}}{k_B\,T}}= | exp^{-\frac{\Delta A_{1 \rightarrow 2}}{k_B\,T}}= | ||
\bigg \langle exp^{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T}} \bigg\rangle. | \bigg \langle exp^{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T}} \bigg\rangle. | ||
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[[The_VASP_Manual|Contents]] | [[The_VASP_Manual|Contents]] | ||
[[Category:Molecular | [[Category:Molecular dynamics]][[Category:Slow-growth approach]][[Category:Theory]][[Category:Howto]] |
Revision as of 14:30, 7 April 2022
The free-energy profile along a geometric parameter can be scanned by an approximate slow-growth approach[1]. In this method, the value of is linearly changed from the value characteristic for the initial state (1) to that for the final state (2) with a velocity of transformation . The resulting work needed to perform a transformation can be computed as:
In the limit of infinitesimally small , the work corresponds to the free-energy difference between the the final and initial state. In the general case, is the irreversible work related to the free energy via Jarzynski's identity[2]:
Note that calculation of the free-energy via this equation requires averaging of the term over many realizations of the transformation. Detailed description of the simulation protocol that employs Jarzynski's identity can be found in reference [3].
Anderson thermostat
- For a slow-growth simulation, one has to perform a calcualtion very similar to Constrained molecular dynamics but additionally the transformation velocity-related INCREM-tag for each geometric parameter with STATUS=0 has to be specified. For a slow-growth approach run with Andersen thermostat, one has to:
- Set the standard MD-related tags: IBRION=0, TEBEG, POTIM, and NSW
- Set MDALGO=1, and choose an appropriate setting for ANDERSEN_PROB
- Define geometric constraints in the ICONST-file, and set the STATUS parameter for the constrained coordinates to 0
- When the free-energy gradient is to be computed, set LBLUEOUT=.TRUE.
- Specify the transformation velocity-related INCREM-tag for each geometric parameter with STATUS=0.
Nose-Hoover thermostat
- For a slow-growth approach run with Nose-Hoover thermostat, one has to:
- Set the standard MD-related tags: IBRION=0, TEBEG, POTIM, and NSW
- Set MDALGO=2, and choose an appropriate setting for SMASS
- Define geometric constraints in the ICONST-file, and set the STATUS parameter for the constrained coordinates to 0
- When the free-energy gradient is to be computed, set LBLUEOUT=.TRUE.
- Specify the transformation velocity-related INCREM-tag for each geometric parameter with STATUS=0
VASP can handle multiple (even redundant) constraints. Note, however, that a too large number of constraints can cause problems with the stability of the SHAKE algorithm. In problematic cases, it is recommended to use a looser convergence criterion (see SHAKETOL) and to allow a larger number of iterations (see SHAKEMAXITER) in the SHAKE algorithm. Hard constraints may also be used in metadynamics simulations (see MDALGO=11 | 21). Information about the constraints is written onto the REPORT-file: check the lines following the string: Const_coord