Slow-growth approach: Difference between revisions
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The resulting work needed to perform a transformation <math>1 \rightarrow 2</math> | The resulting work needed to perform a transformation <math>1 \rightarrow 2</math> | ||
can be computed as: | can be computed as: | ||
<math> | |||
::<math> | |||
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> | ||
In the limit of infinitesimally small | |||
In the limit of infinitesimally small <math>\dot{\xi}</math>, the work <math>w^{irrev}_{1 \rightarrow 2}</math> | |||
corresponds to the free-energy difference between the the final and initial state. | corresponds to the free-energy difference between the the final and initial state. | ||
In the general case, | In the general case, <math>w^{irrev}_{1 \rightarrow 2}</math> is the irreversible work related | ||
to the free energy via Jarzynski's identity | to the free energy via Jarzynski's identity<ref name="jarzynski1997"/>: | ||
::<math> | |||
\bigg \langle | exp^{-\frac{\Delta A_{1 \rightarrow 2}}{k_B\,T}}= | ||
\bigg \langle exp^{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T}} \bigg\rangle. | |||
Note that calculation of the free-energy via | </math> | ||
averaging of the term | |||
over many realizations of the | Note that calculation of the free-energy via this equation requires | ||
averaging of the term <math>{\rm exp} \left \{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T} \right \}</math> | |||
over many realizations of the <math>1 \rightarrow 2</math> | |||
transformation. | transformation. | ||
Detailed description of the simulation protocol that employs Jarzynski's identity | Detailed description of the simulation protocol that employs Jarzynski's identity | ||
can be found in | can be found in reference <ref name="oberhofer2005"/>. | ||
* For a | == Anderson thermostat == | ||
* For a slow-growth simulation, one has to perform a calcualtion very similar to {{TAG|Constrained molecular dynamics}} but additionally the transformation velocity-related {{TAG|INCREM}}-tag for each geometric parameter with <tt>STATUS=0</tt> has to be specified. For a slow-growth approach run with Andersen thermostat, one has to: | |||
#Set the standard MD-related tags: {{TAG|IBRION}}=0, {{TAG|TEBEG}}, {{TAG|POTIM}}, and {{TAG|NSW}} | #Set the standard MD-related tags: {{TAG|IBRION}}=0, {{TAG|TEBEG}}, {{TAG|POTIM}}, and {{TAG|NSW}} | ||
#Set {{TAG|MDALGO}}=1, and choose an appropriate setting for {{TAG|ANDERSEN_PROB}} | #Set {{TAG|MDALGO}}=1, and choose an appropriate setting for {{TAG|ANDERSEN_PROB}} | ||
#Define geometric constraints in the {{FILE|ICONST}} | #Define geometric constraints in the {{FILE|ICONST}} file, and set the '''STATUS''' parameter for the constrained coordinates to 0 | ||
#When the free-energy gradient is to be computed, set {{TAG|LBLUEOUT}}=.TRUE. | #When the free-energy gradient is to be computed, set {{TAG|LBLUEOUT}}=.TRUE. | ||
For a slow-growth | <ol start="5"> | ||
<li>Specify the transformation velocity-related {{TAG|INCREM}}-tag for each geometric parameter with <tt>STATUS=0</tt>.</li> | |||
</ol> | |||
== Nose-Hoover thermostat == | |||
* For a slow-growth approach run with Nose-Hoover thermostat, one has to: | |||
#Set the standard MD-related tags: {{TAG|IBRION}}=0, {{TAG|TEBEG}}, {{TAG|POTIM}}, and {{TAG|NSW}} | |||
#Set {{TAG|MDALGO}}=2, and choose an appropriate setting for {{TAG|SMASS}} | |||
#Define geometric constraints in the {{FILE|ICONST}}-file, and set the <tt>STATUS</tt> parameter for the constrained coordinates to 0 | |||
#When the free-energy gradient is to be computed, set {{TAG|LBLUEOUT}}=.TRUE. | |||
<ol start="5"> | <ol start="5"> | ||
<li>Specify the transformation velocity-related {{TAG|INCREM}}-tag for each geometric parameter with <tt>STATUS=0</tt></li> | <li>Specify the transformation velocity-related {{TAG|INCREM}}-tag for each geometric parameter with <tt>STATUS=0</tt></li> | ||
</ol> | </ol> | ||
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|SHAKE algorithm]]. In problematic cases, it is recommended to use a looser convergence criterion (see {{TAG|SHAKETOL}}) and to allow a larger number of iterations (see {{TAG|SHAKEMAXITER}}) in the [[#SHAKE|SHAKE algorithm]]. Hard constraints may also be used in [[#Metadynamics|metadynamics simulations]] (see {{TAG|MDALGO}}=11 {{!}} 21). Information about the constraints is written onto the {{FILE|REPORT}}-file: check the lines following the string: <tt>Const_coord</tt> | 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|SHAKE algorithm]]. In problematic cases, it is recommended to use a looser convergence criterion (see {{TAG|SHAKETOL}}) and to allow a larger number of iterations (see {{TAG|SHAKEMAXITER}}) in the [[#SHAKE|SHAKE algorithm]]. Hard constraints may also be used in [[#Metadynamics|metadynamics simulations]] (see {{TAG|MDALGO}}=11 {{!}} 21). Information about the constraints is written onto the {{FILE|REPORT}}-file: check the lines following the string: <tt>Const_coord</tt> | ||
== References == | == References == | ||
<references> | <references> | ||
<ref name="woo1997">[https://pubs.acs.org/doi/abs/10.1021/jp9717296 T. K. Woo, P. M. Margl, P. E. Blochl, and T. Ziegler, J. Phys. Chem. B 101, 7877 (1997).]</ref> | <ref name="woo1997">[https://pubs.acs.org/doi/abs/10.1021/jp9717296 T. K. Woo, P. M. Margl, P. E. Blochl, and T. Ziegler, J. Phys. Chem. B 101, 7877 (1997).]</ref> | ||
<ref name="jarzynski1997">[https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.78.2690 C. Jarzynski, Phys. Rev. Lett. 78, 2690 (1997).]</ref> | |||
<ref name="oberhofer2005">[https://pubs.acs.org/doi/abs/10.1021/jp044556a . Oberhofer, C. Dellago, and P. L. Geissler, J. Phys. Chem. B 109, 6902 (2005).]</ref> | |||
</references> | </references> | ||
---- | ---- | ||
[[Category:Molecular | [[Category:Molecular dynamics]][[Category:Slow-growth approach]][[Category:Theory]][[Category:Howto]] |
Revision as of 06:12, 14 June 2024
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