# FNOCC: Frozen natural orbitals for CCSD(T), QCISD(T), CEPA, and MP4¶

*Code author: A. Eugene DePrince*

*Section author: A. Eugene DePrince*

*Module:* Keywords, PSI Variables, FNOCC

Warning

There is a known bug concerning the i7-5930 series combined with the Intel 15 compilers and MKL 11.2.3. When PSI4 is compiled under these conditions, parallel runs of the FNOCC code have experienced nonsensical CCSD correlation energies (often several Hartrees lower than the starting guess). At the moment, the only confirmed solutions are running serially, using a different BLAS implementation, or upgrading to Intel 16.0.2 and MKL 11.3.2.

## Frozen natural orbitals (FNO)¶

The computational cost of the CCSD [Purvis:1982], CCSD(T) [Raghavachari:1989], and related methods be reduced by constructing a compact representation of the virtual space based on the natural orbitals of second-order perturbation theory [Sosa:1989:148]. The most demanding steps in the CCSD and (T) algorithms scale as \({\cal{O}}(o^2v^4)\) and \({\cal{O}}(o^3v^4)\), where \(o\) and \(v\) represent the number of oribitals that are occupied and unoccupied (virtual) in the reference function, respectively. By reducing the the size of the virtual space, the cost of evaluating these terms reduces by a factor of \((v / v_{FNO})^4\), where \(v_{FNO}\) represents the number of virtual orbitals retained after the FNO truncation.

The general outline for the FNO procedure in PSI4 is:

- construct the virtual-virtual block of the unrelaxed MP2 one-particle density matrix (OPDM)
- diagonalize this block of the OPDM to obtain a set of natural virtual orbitals
- based on some occupancy threshold, determine which orbitals are unimportant and may be discarded
- project the virtual-virtual block of the Fock matrix onto the truncated space
- construct semicanonical orbitals by diagonalizing the virtual-virtual block of the Fock matrix
- proceed with the QCISD(T) / CCSD(T) / MP4 computation in the reduced virtual space

A second-order correction based upon the MP2 energies in the full and truncated spaces captures much of the missing correlation effects. More details on the implementation and numerical accuracy of FNO methods in PSI4 can be found in [DePrince:2013:293]. FNO computations are controlled through the keywords NAT_ORBS and OCC_TOLERANCE, or by prepending a valid method name with “fno” in the energy call as

1 | ```
energy('fno-ccsd(t)')
``` |

If you wish to specify the number of active natural orbitals manually, use the keyword ACTIVE_NAT_ORBS. This keyword will override the keyword OCC_TOLERANCE.

## QCISD(T), CCSD(T), MP4, and CEPA¶

The FNOCC module in PSI4 supports several related many-body quantum chemistry methods, including the CCSD(T) and QCISD(T) methods, several orders of many-body perturbation theory (MP2-MP4), and a family methods related to the coupled electron pair approximation (CEPA).

## Quadratic configuration interaction and coupled cluster¶

The quadratic configuration interaction singles doubles (QCISD) method of Pople, Head-Gordon, and Raghavachari [Pople:1987:5968] was originally presented as a size-consistent extension of configuration interaction singles doubles (CISD). The method can also be obtained as a simplified version of the coupled cluster singles doubles (CCSD) method [Purvis:1982]. Consider the set of equations defining CCSD:

where we have chosen the intermediate normalization, \(\langle \Psi_0| \Psi \rangle = 1\), and the symbols \(T_1\) and \(T_2\) represent single and double excitation operators. The QCISD equations can be obtained by omitting all but two terms that are nonlinear in \(T_1\) and \(T_2\):

QCISD is slightly cheaper that CCSD computationally, but it retains the \({\cal{O}}(o^2v^4)\) complexity of the original equations. Just as in the familiar CCSD(T) method, the effects of connected triple excitations may be included noniteratively to yield the QCISD(T) method. Both the QCISD(T) and CCSD(T) methods are implemented for closed-shell references in the FNOCC module.

## Many-body perturbation theory¶

QCI and CC methods are closely related to perturbation theory, and the
MP2, MP3, and MP4(SDQ) correlation energies can be obtained as a free
by-product of a CCSD or QCISD computation. The following is an
example of the results for a computation run with the call
`energy('fno-qcisd')`

to `energy()`

:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | ```
QCISD iterations converged!
OS MP2 FNO correction: -0.000819116338
SS MP2 FNO correction: -0.000092278158
MP2 FNO correction: -0.000911394496
OS MP2 correlation energy: -0.166478414245
SS MP2 correlation energy: -0.056669079827
MP2 correlation energy: -0.223147494072
* MP2 total energy: -76.258836941658
OS MP2.5 correlation energy: -0.171225850256
SS MP2.5 correlation energy: -0.054028401038
MP2.5 correlation energy: -0.225254251294
* MP2.5 total energy: -76.260943698880
OS MP3 correlation energy: -0.175973286267
SS MP3 correlation energy: -0.051387722248
MP3 correlation energy: -0.227361008515
* MP3 total energy: -76.263050456101
OS MP4(SDQ) correlation energy: -0.180324322304
SS MP4(SDQ) correlation energy: -0.048798468084
MP4(SDQ) correlation energy: -0.230995119324
* MP4(SDQ) total energy: -76.266684566910
OS QCISD correlation energy: -0.181578117924
SS QCISD correlation energy: -0.049853548145
QCISD correlation energy: -0.231431666069
* QCISD total energy: -76.267121113654
``` |

The first set of energies printed corresponds to the second-order FNO correction mentioned previously. Results for many-body perturbation theory through partial fourth order are then provided. The notation MP4(SDQ) indicates that we have included all contributions to the correlation energy through fourth order, with the exception of that from connected triple excitations.

One need not run a full QCISD or CCSD computation to obtain these perturbation theory results. The keywords for invoking perturbation theory computations are given below in Table FNOCC Methods. Full MP4 correlation energies are also available.

## Coupled electron pair approximation¶

Coupled-pair methods can be viewed as approximations to CCSD or as size-extensive modifications of CISD. The methods have the same complexity as CISD, and solving the CISD or coupled-pair equations requires fewer floating point operations than solving the CCSD. CISD, CCSD, and the coupled-pair methods discussed below all scale formally with the sixth power of system size, and, as with the QCISD method, CEPA methods retain \({\cal{O}}(o^2v^4)\) complexity of the CCSD equations. For a detailed discussion of the properties of various coupled-pair methods, see [Wennmohs:2008:217].

What follows is a very basic description of the practical differences in the equations that define each of the coupled-pair methods implemented in PSI4. We begin with the CISD wave function

where we have chosen the intermediate normalization, \(\langle \Psi_0 | \Psi \rangle = 1\). The CISD correlation energy is given by

and the amplitudes can be determined by the solution to the coupled set of equations:

The CISD method is not size-extensive, but this problem can be overcome by making very simple modifications to the amplitude equations. We replace the correlation energy, \(E_c\), with generalized shifts for the doubles and singles equations, \(\Delta_{ij}\) and \(\Delta_i\):

These shifts approximate the effects of triple and quadruple excitations. The values for \(\Delta_{ij}\) and \(\Delta_i\) used in several coupled-pair methods are given in Table CEPA Shifts. Note that these shifts are defined in a spin-free formalism for closed-shell references only.

method \(\Delta_{ij}\) \(\Delta_i\) cisd \(E_c\) \(E_c\) cepa(0) 0 0 cepa(1) \(\frac{1}{2}\sum_k(\epsilon_{ik}+\epsilon_{jk})\) \(\sum_k \epsilon_{ik}\) cepa(3) \(-\epsilon_{ij}+\sum_k(\epsilon_{ik}+\epsilon_{jk})\) \(-\epsilon_{ii}+2\sum_k \epsilon_{ik}\) acpf \(\frac{2}{N} E_c\) \(\frac{2}{N} E_c\) aqcc \([1-\frac{(N-3)(N-2)}{N(N-1)}]E_c\) \([1-\frac{(N-3)(N-2)}{N(N-1)}]E_c\)

The pair correlation energy, \(\epsilon_{ij}\), is simply a partial sum of the correlation energy. In a spin-free formalism, the pair energy is given by

Methods whose shifts (\(\Delta_{ij}\) and \(\Delta_i\)) do not explicitly depend on orbitals \(i\) or \(j\) (CISD, CEPA(0), ACPF, and AQCC) have solutions that render the energy stationary with respect variations in the amplitudes. This convenient property allows density matrices and 1-electron properties to be evaluated without any additional effort. Note, however, that 1-electron properties are currently unavailable when coupling these stationary CEPA-like methods with frozen natural orbitals.

## Density-fitted coupled cluster¶

Density fitting (DF) [or the resolution of the identity (RI)] and Cholesky decomposition (CD) techniques are popular in quantum chemistry to avoid the computation and storage of the 4-index electron repulsion integral (ERI) tensor and even to reduce the computational scaling of some terms. DF/CD-CCSD(T) computations are available in PSI4, with or without the use of FNOs, through the FNOCC module. The implementation and accuracy of the DF/CD-CCSD(T) method are described in [DePrince:2013:2687].

The DF-CCSD(T) procedure uses two auxiliary basis sets. The first set is that used in the SCF procedure, defined by the DF_BASIS_SCF keyword. If this keyword is not specified, an appropriate -JKFIT set is automatically selected. This auxiliary set defines the ERIs used to build the Fock matrix used in the DF-CCSD(T) procedure. The second auxiliary set is used to approximate all other ERIs in the DF-CCSD(T) procedure. The choice of auxiliary basis is controlled by the keyword DF_BASIS_CC. By default, DF_BASIS_CC is the RI set (optimized for DFMP2) most appropriate for use with the primary basis. For example, if the primary basis is aug-cc-pVDZ, the default DF_BASIS_CC will be aug-cc-pVDZ-RI.

Alternatively, the user can request that the DF-CCSD(T) procedure use a
set of vectors defined by the Cholesky decomposition of the ERI tensor as
the auxiliary basis. This feature is enabled by specifying CC_TYPE `CD`

.
CD methods can be enabled in the SCF
procedure as well, by specifying the SCF_TYPE as `CD`

. The
accuracy of the decomposition can be controlled through the keyword
CHOLESKY_TOLERANCE.

The following input file sets up a DF-CCSD(T) computation using CD integrals

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
molecule h2o {
0 1
O
H 1 1.0
H 1 1.0 2 104.5
}
set {
scf_type cd
cc_type cd
basis aug-cc-pvdz
freeze_core true
}
energy('ccsd(t)')
``` |

The resulting CCSD(T) correlation energy will be equivalent to that
obtained from a conventional computation if CHOLESKY_TOLERANCE is
sufficiently small (*e.g.* `1e-9`

).

## Gn theory¶

The FNOCC module contains all the components that comprise the Gn family
of composite methods. Currently, only the G2 method is supported
[Curtiss:1991:7221]. The G2 procedure may be called through the
`energy()`

wrapper:

1 | ```
energy('gaussian-2')
``` |

## Supported methods¶

The various methods supported by the FNOCC module in PSI4 are detailed
in Table FNOCC Methods. Note that these methods
are implemented for closed-shell references only. For open-shell references,
the calls `energy('mp2.5')`

, `energy('mp3')`

, and `energy('mp4')`

will
default to implementations of these methods in other modules.

name calls method type select qcisd quadratic configuration interaction singles doubles CI_TYPE CONV qcisd(t) qcisd with perturbative triples CI_TYPE CONV mp2.5 average of second- and third-order perturbation theories MP_TYPE CONV mp3 third-order perturbation theory MP_TYPE CONV mp4(sdq) fourth-order perturbation theory, minus triples contribution MP_TYPE CONV mp4 full fourth-order perturbation theory MP_TYPE CONV lccd linear ccd CC_TYPE CONV cepa(0), lccsd coupled electron pair approximation, variant 0 CC_TYPE CONV cepa(1) coupled electron pair approximation, variant 1 CC_TYPE CONV cepa(3) coupled electron pair approximation, variant 3 CC_TYPE CONV acpf averaged coupled-pair functional CC_TYPE CONV aqcc averaged quadratic coupled-cluster CC_TYPE CONV cisd configuration interaction with single and double excitations CI_TYPE CONV fno-qcisd qcisd with frozen natural orbitals CI_TYPE CONV fno-qcisd(t) qcisd(t) with frozen natural orbitals CI_TYPE CONV fno-ccsd coupled cluster singles doubles with frozen natural orbitals CC_TYPE CONV, DF, CD fno-ccsd(t) ccsd with perturbative triples and frozen natural orbitals CC_TYPE CONV, DF, CD fno-mp3 mp3 with frozen natural orbitals MP_TYPE CONV fno-mp4(sdq) mp4(sdq) with frozen natural orbitals MP_TYPE CONV fno-mp4 mp4 with frozen natural orbitals MP_TYPE CONV fno-lccd linear ccd with frozen natural orbitals CC_TYPE CONV fno-cepa(0), fno-lccsd cepa(0) with frozen natural orbitals CC_TYPE CONV fno-cepa(1) cepa(1) with frozen natural orbitals CC_TYPE CONV fno-cepa(3) cepa(3) with frozen natural orbitals CC_TYPE CONV fno-acpf acpf with frozen natural orbitals CC_TYPE CONV fno-aqcc aqcc with frozen natural orbitals CC_TYPE CONV fno-cisd cisd with frozen natural orbitals CI_TYPE CONV

## Basic FNOCC Keywords¶

### BASIS¶

Primary basis set. Available basis sets

Type: stringPossible Values: basis stringDefault: No Default

### FREEZE_CORE¶

Specifies how many core orbitals to freeze in correlated computations.

`TRUE`

or`1`

will default to freezing the previous noble gas shell on each atom. In case of positive charges on fragments, an additional shell may be unfrozen, to ensure there are valence electrons in each fragment. With`FALSE`

or`0`

, no electrons are frozen (with the exception of electrons treated by an ECP). With`-1`

,`-2`

, and`-3`

, the user might request strict freezing of the previous first/second/third noble gas shell on every atom. In this case, when there are no valence electrons, the code raises an exception. More precise control over the number of frozen orbitals can be attained by using the keywords NUM_FROZEN_DOCC (gives the total number of orbitals to freeze, program picks the lowest-energy orbitals) or FROZEN_DOCC (gives the number of orbitals to freeze per irreducible representation)

Type: stringPossible Values: FALSE, TRUE, 1, 0, -1, -2, -3Default: FALSE

### R_CONVERGENCE¶

Convergence for the CC amplitudes. Note that convergence is met only when E_CONVERGENCE and R_CONVERGENCE are satisfied.

Type: conv doubleDefault: 1.0e-7

### E_CONVERGENCE¶

Convergence criterion for CC energy. See Table Post-SCF Convergence for default convergence criteria for different calculation types. Note that convergence is met only when E_CONVERGENCE and R_CONVERGENCE are satisfied.

Type: conv doubleDefault: 1.0e-6

### DIIS_MAX_VECS¶

Desired number of DIIS vectors

Type: integerDefault: 8

### NAT_ORBS¶

Do use MP2 NOs to truncate virtual space for QCISD/CCSD and (T)?

Type: booleanDefault: false

### OCC_TOLERANCE¶

Cutoff for occupation of MP2 virtual NOs in FNO-QCISD/CCSD(T). Virtual NOs with occupations less than OCC_TOLERANCE will be discarded. This option is only used if NAT_ORBS = true.

Type: conv doubleDefault: 1.0e-6

### TRIPLES_LOW_MEMORY¶

Do use low memory option for triples contribution? Note that this option is enabled automatically if the memory requirements of the conventional algorithm would exceed the available resources

Type: booleanDefault: false

### CC_TIMINGS¶

Do time each cc diagram?

Type: booleanDefault: false

### DF_BASIS_CC¶

Auxilliary basis for df-ccsd(t).

Type: stringPossible Values: basis stringDefault: No Default

### CHOLESKY_TOLERANCE¶

tolerance for Cholesky decomposition of the ERI tensor

Type: conv doubleDefault: 1.0e-4

### CEPA_NO_SINGLES¶

Flag to exclude singly excited configurations from a coupled-pair computation.

Type: booleanDefault: false

## Advanced FNOCC Keywords¶

### MP2_SCALE_OS¶

Opposite-spin scaling factor for SCS-MP2

Type: doubleDefault: 1.20

### MP2_SCALE_SS¶

Same-spin scaling factor for SCS-MP2

Type: doubleDefault: 1.0

### CC_SCALE_OS¶

Oppposite-spin scaling factor for SCS-CCSD

Type: doubleDefault: 1.27

### CC_SCALE_SS¶

Same-spin scaling factor for SCS-CCSD

Type: doubleDefault: 1.13

### RUN_CEPA¶

Is this a CEPA job? This parameter is used internally by the pythond driver. Changing its value won’t have any effect on the procedure.

Type: booleanDefault: false

### COMPUTE_TRIPLES¶

Do compute triples contribution?

Type: booleanDefault: true

### COMPUTE_MP4_TRIPLES¶

Do compute MP4 triples contribution?

Type: booleanDefault: false

### DFCC¶

Do use density fitting or cholesky decomposition in CC? This keyword is used internally by the driver. Changing its value will have no effect on the computation.

Type: booleanDefault: false

### CEPA_LEVEL¶

Which coupled-pair method is called? This parameter is used internally by the python driver. Changing its value won’t have any effect on the procedure.

Type: stringDefault: CEPA(0)