Thermodynamic integration

Template:Short description Thermodynamic integration is a method used to compare the difference in free energy between two given macroscopic states (e.g., A and B) whose potential energies $U_A$ and $U_B$ have different dependences on the spatial coordinates. Because the free energy of a system is not simply a function of the phase space coordinates of the system, but is instead a function of the Boltzmann-weighted integral over phase space (i.e. a partition function), the free energy difference between two macroscopic states cannot be calculated directly from the potential energy of just two coordinate sets (for state A and B respectively). In thermodynamic integration, the free energy difference is calculated by defining a thermodynamic path between the states and integrating over ensemble-averaged enthalpy changes along the path. Such paths can either be real chemical processes or alchemical processes. An example alchemical process is the Kirkwood's coupling parameter method.

Derivation

Consider two systems, A and B, with potential energies $U_A$ and $U_B$. The potential energy in either system can be calculated as an ensemble average over configurations sampled from a molecular dynamics or Monte Carlo simulation with proper Boltzmann weighting. Now consider a new potential energy function defined as:

$U(\lambda )=U_A+\lambda (U_B-U_A)$

Here, $\lambda$ is defined as a coupling parameter with a value between 0 and 1, and thus the potential energy as a function of $\lambda$ varies from the energy of system A for $\lambda =0$ and system B for $\lambda =1$. In the canonical ensemble, the partition function of the system can be written as:

$Q(N,V,T,\lambda )=\sum _s\exp [-U_s(\lambda )/k_{B}T]$

In this notation, $U_s(\lambda )$ is the potential energy of state $s$ in the ensemble with potential energy function $U(\lambda )$ as defined above. The free energy of this system is defined as:

$F(N,V,T,\lambda )=-k_{B}T\ln Q(N,V,T,\lambda )$,

If we take the derivative of F with respect to λ, we will get that it equals the ensemble average of the derivative of potential energy with respect to λ.

$\begin{array}{cc}\mathrm{\Delta }F(A\to B)& ={\int }_0^1\frac{\partial F(\lambda )}{\partial \lambda }d\lambda \\ & =-{\int }_0^1\frac{k_{B}T}{Q}\frac{\partial Q}{\partial \lambda }d\lambda \\ & ={\int }_0^1\frac{k_{B}T}{Q}\sum _s\frac{1}{k_{B}T}\exp [-U_s(\lambda )/k_{B}T]\frac{\partial U_s(\lambda )}{\partial \lambda }d\lambda \\ & ={\int }_0^1{⟨\frac{\partial U(\lambda )}{\partial \lambda }⟩}_{\lambda }d\lambda \\ & ={\int }_0^1{⟨U_B(\lambda )-U_A(\lambda )⟩}_{\lambda }d\lambda \end{array}$

The change in free energy between states A and B can thus be computed from the integral of the ensemble averaged derivatives of potential energy over the coupling parameter $\lambda$. In practice, this is performed by defining a potential energy function $U(\lambda )$, sampling the ensemble of equilibrium configurations at a series of $\lambda$ values, calculating the ensemble-averaged derivative of $U(\lambda )$ with respect to $\lambda$ at each $\lambda$ value, and finally computing the integral over the ensemble-averaged derivatives.

Umbrella sampling is a related free energy method. It adds a bias to the potential energy. In the limit of an infinitely strong bias it is equivalent to thermodynamic integration.

See also

• Free energy perturbation
• Bennett acceptance ratio
• Parallel tempering