Monday, October 29, 2018

physical chemistry - How to obtain product ratio from energy differences via Boltzmann statistics


I am currently calculating some reactions and I would like to express the ratio of the products in per cents. I am using the Boltzmann statistic in the following way:




  1. The probability pj of a particle j to be in a state with the energy εj is given as (1a,a'). The statement (1b) must therefore hold, whereas (1c) also follows. (a)pj=NjN(a')%Pj=NjN100%(b)1=jpj(c)N=jNj





  2. For any system with k particles, that are in thermal equilibrium, the probability to find particle j can be expressed via the Boltzmann statistics (2), where Z is the canonical partition function, the inverse temperature is β=(kBT)1 and the degeneracy coefficient is gj. pj=gj1Zexp{βεj}




  3. I can assume that a state with the energy ε0 is the ground state, therefore no other state can have lower energy. I can therefore assign the ground state as the baseline and switch to relative energies, as demonstrated in in (3). def.ε0=0.0εj=ε0+Δεj




  4. As a consequence I can express the canonical partition function in terms of the ground state probability. \begin{align} && p_0 &= g_0\cdot \frac1Z\cdot \exp\left\{-\beta\varepsilon_0\right\}\\ \therefore && p_0 &= g_0\cdot \frac1Z\\ \equiv && Z &= \frac{g_0}{p_0}\\\tag4 \end{align} The canonical partition function is also defined in (5), but I am quite sure this one would not lead me to my desired goal. Z = \sum_l^\infty g_l\cdot\exp\left\{-\beta\varepsilon_l\right\}\tag5





  5. I can express any probability in terms of the ground state probability following from (2-4). \begin{align} && p_j &= \frac{g_j}{g_0}\cdot p_0\cdot \exp\left\{-\beta\Delta\varepsilon_j'\right\}\\\tag6 \end{align}




  6. As a last step I will switch to macroscopic numbers, as my quantum chemical calculations give me \Delta{}G values. \begin{align} \text{def.} && \Delta{}G_j &= \mathcal{N}_\mathrm{A}\cdot \Delta\varepsilon_j'\\ && p_j &= \frac{g_j}{g_0}\cdot p_0\cdot \exp\left\{-\frac{\Delta{}G_j}{\mathcal{R}\cdot{}T}\right\}\\\tag7 \end{align}






  • How do I obtain p_0 in a way, that I can use it in spreadsheet software like libreOffice calc, so that I satisfy \text{(1b)}? If I insert this equation, I would have to solve it iteratively, as I have the variable to solve for on both sides. I could then go ahead and use Z directly. \begin{align} p_0 &= 1 - p_j -\sum_{i\neq0,j} p_i\\ \color{\red}{p_j} &= \frac{g_j}{g_0}\cdot \left(1 - \color{\red}{p_j} -\sum_{i\neq0,j} p_i\right)\cdot \exp\left\{-\frac{\Delta{}G_j}{\mathcal{R}\cdot{}T}\right\}\\ \end{align}


  • Am I making correct assumptions along the way?

  • Could the following work? Assign an arbitrary probability to p_0, to obtain an arbitrary value for [p_j]^\ddagger. What would be reasonable? I picked 0.25 as an example. Can I then normalize to get the total percentages? \begin{align} \text{def.} && p_0 &= [p_0]^\ddagger\ =\ 0.25\\ && [p_j]^\ddagger &= \frac{g_j}{g_0}\cdot \color{\green}{0.25}\cdot \exp\left\{-\frac{\Delta{}G_j}{\mathcal{R}\cdot{}T}\right\}\\ \text{Norm.} && \%P_j &= \frac{[p_j]^\ddagger}{\sum_i [p_i]^\ddagger}\cdot 100\% \end{align} This would maybe break down the iterative procedure to a two step process. Is this procedure really equivalent to \text{(1a')}?




Closely related: 4 Compounds in Equilibrium with One Another - Determine Their Equilibrium Concentrations




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