Slow-growth approach
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