Slow-growth approach: Difference between revisions

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</math>
</math>


In the limit of infinitesimally small $\dot{\xi}$, the work $w^{irrev}_{1 \rightarrow 2}$
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, $w^{irrev}_{1 \rightarrow 2}$ is the irreversible work related
In the general case, <math>w^{irrev}_{1 \rightarrow 2}$ </math>is the irreversible work related
to the free energy via Jarzynski's identity~\cite{Jarzynski:97}:
to the free energy via Jarzynski's identity<ref name="jarzynski1997"/>:
\begin{equation}\label{eq_jarzynski}
 
<math>
{\rm exp}\left\{-\frac{\Delta A_{1 \rightarrow 2}}{k_B\,T} \right \}=
{\rm exp}\left\{-\frac{\Delta A_{1 \rightarrow 2}}{k_B\,T} \right \}=
\bigg \langle {\rm exp} \left \{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T} \right \} \bigg\rangle.  
\bigg \langle {\rm exp} \left \{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T} \right \} \bigg\rangle.  
\end{equation}
</math>
Note that calculation of the free-energy via eq.(\ref{eq_jarzynski}) requires
 
averaging of  the term ${\rm exp} \left \{-\frac{w^{irrev}_{1 \rightarrow 2}}{k_B\,T} \right \}$
Note that calculation of the free-energy via this equation requires
over many realizations of the $1 \rightarrow 2$
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
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<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>
</references>
</references>
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Revision as of 15:35, 13 March 2019

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 Ref.~\cite{Oberhofer:05}.

  • For a constrained molecular dynamics run with Andersen thermostat, one has to:
  1. Set the standard MD-related tags: IBRION=0, TEBEG, POTIM, and NSW
  2. Set MDALGO=1, and choose an appropriate setting for ANDERSEN_PROB
  3. Define geometric constraints in the ICONST-file, and set the STATUS parameter for the constrained coordinates to 0
  4. When the free-energy gradient is to be computed, set LBLUEOUT=.TRUE.

For a slow-growth simulation, one has to additionally:

  1. 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


References


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