Standard density functionals do not yield a potential with
the correct long-range Coulomb tail, owing to the self-interaction problem.
Therefore, excitation energies corresponding to states that sample
this tail (e.g., diffuse Rydberg states and some charge transfer excited
states) are not given accurately.
206
J. Chem. Phys.
(1998),
108,
pp. 4439.
Link
,
1309
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109,
pp. 10180.
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,
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J. Chem. Theory Comput.
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3,
pp. 1680.
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The extent to which a particular excited state is characterized by charge transfer
can be assessed using an a spatial overlap metric, ,
defined as
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J. Chem. Phys.
(2008),
128,
pp. 044118.
Link
,
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(2024),
26,
pp. 3755.
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,
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J. Chem. Theory Comput.
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pp. 9446.
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(7.16) |
where is the spatial overlap of occupied MO with virtual MO :
(7.17) |
The absolute value signs are necessary since the occupied and virtual MOs are orthogonal, , although Q-Chem includes the option to use squares of the MOs instead:
(7.18) |
In that case, is used in place of in Eq. (7.16).
For the original version of the metric (using , and where and are canonical MOs),
Tozer and coworkers find that for localized valence
excitations whereas Rydberg excitations lie in the range
.
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J. Chem. Phys.
(2008),
128,
pp. 044118.
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Furthermore, they suggest functional-specific cutoffs for when a particular excitation may have
too much charge-transfer character for TDDFT results to be trusted.
Note that while Q-Chem implements the definition
in Eq. (7.16) that was proposed in Ref.
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J. Chem. Phys.
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pp. 044118.
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, the normalizing
denominator in this expression is inconsistent for full TDDFT calculations
(i.e., those not invoking the TDA),
542
J. Chem. Theory Comput.
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pp. 9446.
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for which the normalization condition
on and is rather than
.
Empirically, the metric provides very good correlations with TDDFT errors,
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J. Chem. Phys.
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pp. 044118.
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yet its numerical value is difficult to interpret in terms of a physical charge separation. For that reason, a similar metric
(7.19) |
was proposed,
483
J. Chem. Theory Comput.
(2013),
9,
pp. 3118.
Link
,
482
J. Chem. Phys.
(2014),
140,
pp. 104101.
Link
,
1150
J. Phys. Chem. A
(2017),
121,
pp. 7543.
Link
where
(7.20) |
is the vector displacement between the centroids of orbitals and , and in
Eq. (7.21) is the distance between their centroids. This makes an incoherent average of
electron displacements (), which has consequences for states where a coherent superposition of
displacements is qualitatively important.
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J. Chem. Theory Comput.
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pp. 9446.
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Because vanishes for any centrosymmetric
molecule, it was later augmented by a quantity
(7.21) |
where
(7.22) |
where is the second moment of orbital . The quantity provides a measure of the change in orbital size between donor () and acceptor () MOs, and a metric
(7.23) |
was proposed to measure charge-transfer character for TDDFT excitations.
482
J. Chem. Phys.
(2014),
140,
pp. 104101.
Link
It was suggested that a “trust radius” based on , which has dimensions of length, could be used to replace Tozer’s
critical values of as a detector of problematic charge-transfer transitions.
482
J. Chem. Phys.
(2014),
140,
pp. 104101.
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A major shortcoming, however, is that none of these metrics (, , , or ) is invariant
to unity transformation of the MOs.
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J. Chem. Theory Comput.
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As such, their numerical values can depend quite strongly on which orbitals
and are used. In their original formulations, it was assumed that these would be canonical MOs, although it
was subsequently noticed that values of for Rydberg transitions were somewhat erratic but more stable (especially with
regard to changes in basis set) when natural transition orbitals (NTOs, Section 7.14.3) were used instead.
482
J. Chem. Phys.
(2014),
140,
pp. 104101.
Link
An explanation was provided later.
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pp. 9446.
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When the transition in question is dominated by a single occupied/virtual
pair of NTOs (as is often the case, although counterexamples are also easy to find),
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Phys. Chem. Chem. Phys.
(2024),
26,
pp. 3755.
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,
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then
and approximate expectation values with respect to an excitonic wave function, and any proper expectation value must be
invariant to unitary transformations of the occupied MOs and, separately, the virtual MOs.
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J. Chem. Theory Comput.
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pp. 9446.
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For this reason, if these
metrics are going to be used then it is recommended that they be evaluated in the NTO basis rather than the canonical MO basis; Q-Chem
can provide both values, for each of , , , and .
Although the NTO representation affords better stability with respect to changes in basis set (especially, with regard to addition of
diffuse functions),
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it remains the case that each of these metrics is formulated as an incoherent, amplitude-weighted
average of excitations. In a proper expectation value, the excitation amplitudes have a coherent phase relationship, as in
the CIS wave function in Eq. (7.10). It is possible to find examples where the metric provides a very misleading
measure of charge separation, because several individual excitations are associated with large values of ,
yet they interfere destructively such that the net result hardly displaces any charge at all.
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J. Chem. Theory Comput.
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Thus, while the metrics , , and (in both the canonical and NTO representations) are included in order to help users make contact with existing literature, it is recommended that charge-transfer analysis be based on proper expectation values with respect to transition density matrices. These can be computed using the libwfa module that is described in Section 10.2.12. As documented in Table 10.1 of that section, libwfa can compute expectation values such as
(7.24) |
or in other words the expectation value of the distance between the centroid of the excited electron and that of the hole. This constitutes a
proper measure of electron–hole separation.
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Exciton size can be measured via
(7.25) |
which is also available from libwfa. Other metrics that were recommended in Ref.
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can also be computed using
libwfa, including
(7.26) |
where and represent the root-mean-square size of the excited electron and the hole, respectively.