first chunk of compute commands to be converted to use embedded math
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@ -53,27 +53,33 @@ information about the solid structure is required.
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This parameter for atom i is computed using the following formula from
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:ref:`(Piaggi) <Piaggi>` and :ref:`(Nettleton) <Nettleton>` ,
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.. image:: Eqs/pair_entropy.jpg
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:align: center
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.. math::
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s_S^i=-2\pi\rho k_B \int\limits_0^{r_m} \left [ g(r) \ln g(r) - g(r) + 1 \right ] r^2 dr
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where r is a distance, g(r) is the radial distribution function of atom
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i and rho is the density of the system. The g(r) computed for each
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atom i can be noisy and therefore it is smoothed using:
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.. image:: Eqs/pair_entropy2.jpg
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:align: center
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.. math::
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where the sum in j goes through the neighbors of atom i, and sigma is a
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parameter to control the smoothing.
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g_m^i(r) = \frac{1}{4 \pi \rho r^2} \sum\limits_{j} \frac{1}{\sqrt{2 \pi \sigma^2}} e^{-(r-r_{ij})^2/(2\sigma^2)}
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The input parameters are *sigma* the smoothing parameter, and the
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*cutoff* for the calculation of g(r).
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where the sum in j goes through the neighbors of atom i, and :math:`\sigma`
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is a parameter to control the smoothing.
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The input parameters are *sigma* the smoothing parameter :math:`\sigma`,
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and the *cutoff* for the calculation of g(r).
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If the keyword *avg* has the setting *yes*\ , then this compute also
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averages the parameter over the neighbors of atom i according to:
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.. image:: Eqs/pair_entropy3.jpg
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:align: center
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.. math::
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\left< s_S^i \right> = \frac{\sum_j s_S^j + s_S^i}{N + 1}
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where the sum j goes over the neighbors of atom i and N is the number
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of neighbors. This procedure provides a sharper distinction between
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