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Added doc explanation on rotation equivariant features
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concepts | ||
soap | ||
rotation_adapted |
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Rotation-Adapted Features | ||
========================= | ||
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Equivariance | ||
------------ | ||
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Descriptors like SOAP are translation, rotation, and permutation invariant. | ||
Indeed, such invariances are extremely useful if one wants to learn an invariant target (e.g., the energy). | ||
Being already encoded in the descriptor, the learning algorithm does not have to learn such a physical requirement. | ||
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The situation is different if the target is not invariant. For example, one may want to learn a dipole. The dipole rotates with a rotation of the molecule, and as such, invariant descriptors do not have the required symmetries for this task. | ||
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Instead, one would need a rotation equivariant descriptor. | ||
Rotation equivariance means that, if I first rotate the structure and compute the descriptor, I obtain the same result as first computing the descriptor and then applying the rotation, i.e., the descriptor behaves correctly upon rotation operations. | ||
Denoting a structure as :math:`A`, the function computing the descriptor as :math:`f(\cdot)`, and the rotation operator as :math:`\hat{R}`, rotation equivariance can be expressed as: | ||
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.. math:: | ||
:name: eq:equivariance | ||
f(\hat{R} A) = \hat{R} f(A) | ||
Of course, invariance is a special case of equivariance. | ||
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Rotation Equivariance of the Spherical Expansion | ||
------------------------------------------------ | ||
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The spherical expansion is a rotation equivariant descriptor. | ||
Let's consider the expansion coefficients of :math:`\rho_i(\mathbf{r})`. | ||
We have: | ||
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.. math:: | ||
\hat{R} \rho_i(\mathbf{r}) &= \sum_{nlm} c_{nlm}^{i} R_n(r) \hat{R} Y_l^m(\hat{\mathbf{r}}) \nonumber \\ | ||
&= \sum_{nlmm'} c_{nlm}^{i} R_n(r) D_{m,m'}^{l}(\hat{R}) Y_l^{m'}(\hat{\mathbf{r}}) \nonumber \\ | ||
&= \sum_{nlm} \left( \sum_{m'} D_{m',m}^l(\hat{R}) c_{nlm'}^{i}\right) B_{nlm}(\mathbf{r}) \nonumber | ||
and noting that :math:`Y_l^m(\hat{R} \hat{\mathbf{r}}) = \hat{R} Y_l^m(\hat{\mathbf{r}})` and :math:`\hat{R}r = r`, equation :ref:`(1) <eq:equivariance>` is satisfied and we conclude that the expansion coefficients :math:`c_{nlm}^{i}` are rotation equivariant. | ||
Indeed, each :math:`c_{nlm}^{i}` transforms under rotation as the spherical harmonics :math:`Y_l^m(\hat{\mathbf{r}})`. | ||
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Using the Dirac notation, the coefficient :math:`c_{nlm}^{i}` can be expressed as :math:`\braket{nlm\vert\rho_i}`. | ||
Equivalently, and to stress the fact that this coefficient describes something that transforms under rotation as a spherical harmonics :math:`\ket{lm}`, it is sometimes written as :math:`\braket{n\vert\rho_i;lm}`, i.e., the atomic density is "tagged" with a label that tells how it transforms under rotations. | ||
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Completeness Relations of Spherical Harmonics | ||
--------------------------------------------- | ||
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Spherical harmonics can be combined together using rules coming from standard theory of angular momentum: | ||
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.. math:: | ||
:name: eq:cg_coupling | ||
\ket{lm} \propto \ket{l_1 l_2 l m} = \sum_{m_1 m_2} C_{m_1 m_2 m}^{l_1 l_2 l} \ket{l_1 m_1} \ket{l_2 m_2} | ||
where :math:`C_{m_1 m_2 m}^{l_1 l_2 l}` is a Clebsch-Gordan (CG) coefficient. | ||
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Thanks to the one-to-one correspondence (under rotation) between :math:`c_{nlm}^{i}` and :math:`Y_l^m`, | ||
:ref:`(2) <eq:cg_coupling>` means that one can take products of two spherical expansion coefficients (which amounts to considering density correlations), and combine them with CG coefficients to get new coefficients that transform as a single spherical harmonics. | ||
This process is known as coupling, from the uncoupled basis of angular momentum (formed by the product of rotation eigenstates) to a coupled basis (a single rotation eigenstate). | ||
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One can also write the inverse of :ref:`(2) <eq:cg_coupling>`: | ||
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.. math:: | ||
:name: eq:cg_decoupling | ||
\ket{l_1 m_1} \ket{l_2 m_2} = \sum_{l m} C_{m_1 m_2 m}^{l_1 l_2 l m} \ket{l_1 l_2 l m} | ||
that express the product of two rotation eigenstates in terms of one. This process is known as decoupling. | ||
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Example: :math:`\lambda`-SOAP | ||
----------------------------- | ||
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A straightforward application of :ref:`(2) <eq:cg_coupling>` is the construction of :math:`\lambda`-SOAP features. | ||
Indeed, :math:`\lambda`-SOAP was created in order to have a rotation and inversion equivariant version of the 3-body density correlations. | ||
The :math:`\lambda` represents the degree of a spherical harmonics, :math:`Y_{\lambda}^{\mu}(\hat{\mathbf{r}})`, | ||
and it indicates that this descriptor can transform under rotations as a spherical harmonics, i.e., it is rotation equivariant. | ||
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It is then obtained by considering two expansion coefficients of the atomic density, and combining them with a CG iteration to a coupled basis, | ||
as in :ref:`(2) <eq:cg_coupling>`. | ||
The :math:`\lambda`-SOAP descriptor is then: | ||
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.. math:: | ||
\braket{n_1 l_1 n_2 l_2\vert\overline{\rho_i^{\otimes 2}, \sigma, \lambda \mu}} = | ||
\frac{\delta_{\sigma, (-1)^{l_1 + l_2 + \lambda}}}{\sqrt{2 \lambda + 1}} | ||
\sum_{m} C_{m (\mu-m) \mu}^{l_1 l_2 \lambda} c_{n_1 l_1 m}^{i} c_{n_2 l_2 (\mu - m)}^{i} | ||
where we have assumed real spherical harmonics coefficients. |