# Molecular interactions in electron-groups embedding generalized valence bond picture

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## Abstract

Theoretical description of molecular interactions remains a challenge for computational chemistry. In particular, systems dominated by static correlation, in which bonds are stretched or twisted, are often beyond capabilities of methods based on a single-electron approximation, being usually a method of choice. For interacting multireference systems, it is necessary to apply either high-level coupled-cluster methods (which however include multireference effects only partially) or base the theoretical description on a multireference wavefunction. Popular multireference methods like CASPT2 (complete active space perturbation theory) do not provide satisfactory results since they may suffer from problems with size consistency and poor accuracy. Recently we have shown that combining a simple multireference wavefunction, perfect-pairing generalized valence bond (GVB) with extended random phase approximation in embedding framework (EERPA) leads to a method EERPA-GVB providing accurate results for challenging multireference systems. In this paper, good performance of EERPA-GVB is confirmed by its application to van der Waals and hydrogen-bonded complexes. In addition, we show that the decomposition of the EERPA-GVB correlation energy into contributions from pairs of geminals can provide useful insight into the investigated interactions.

## Keywords

Molecular interactions Random phase approximation Multireference systems## 1 Introduction

The ubiquity of non-covalent interactions and their increasingly appreciated role in such fields as material design [1], catalysis [2], medicine [3] and even photochemistry [4, 5, 6] necessitates the development of computational tools able to describe them. Historically, it has been a challenge, in particular due to the long-range nature and the subtlety of the London dispersion, but recently sophisticated coupled-cluster approaches are becoming more computationally affordable [7, 8] and efficient approaches such as the density functional theory (DFT) [9] have developed ways to treat van der Waals interactions [10]. Molecular interactions can also be computed and analyzed using Symmetry-Adapted Perturbation Theory (SAPT) [11, 12], and other energy decomposition schemes [13, 14] and some progress toward providing the same description for intramolecular interactions has been made [15, 16]. The success of computational methods has not however been extended to systems where the static correlation plays a role. This group includes, apart from somewhat exotic systems like chromium or beryllium dimers, all systems containing significantly stretched or compressed bonds. This is a severe limitation as computational and experimental studies, albeit scarce [17, 18, 19, 20, 21], have shown how essential the van der Waals interactions can be in the reaction process.

Capturing molecular interactions in systems where bonds are being twisted or broken is so challenging because one needs to ensure that both the static and the dynamic correlation are accurately described. This usually means one needs to employ a multireference (MR) wavefunction and a good-quality dynamic-correlation correction. What is more, the method should be size-extensive and be able to produce smooth interaction energy surfaces. Favorable scaling with the basis set size is also of value since the description of non-covalent interactions demands high-quality basis sets containing diffuse functions. Popular coupled-cluster methods are of single reference kind and they are prone to fail if applied to interacting strongly correlated systems, unless a high-level CC, with full triples or higher, is employed [22]. The CASPT2 method—often a method of choice for multireference systems—may suffer from lack of size consistency, difficulty with obtaining smooth potential energy curves, and poor accuracy when applied to the description of molecular interactions.

We have recently introduced an Embedding Extended Random Phase Approximation (EERPA) [22] correlation correction and paired it with a simple multireference wavefunction—a strongly orthogonal perfect-pairing generalized valence bond (GVB). GVB wavefunction accounts for electron pair correlation providing correct description of bond breaking process but it lacks long-range correlation. Consequently it is not able to account for weak interactions. Adding dynamic-correlation correction to GVB energy via perturbation theory or linearized multireference coupled-cluster theory allows one to include dispersion interaction component but the accuracy is poor (it must be admitted that the applications are scarce) [23]. EERPA, on the other hand, based on introducing extended random phase approximation correlation correction in an embedding fashion, was shown to be a tailor-made approach for describing intermolecular interactions of multireference systems [22]. It is accurate and numerically stable. What is more, EERPA-GVB is not as computationally demanding as even CCSD(T) method, let alone the higher-level approaches like CCSDT. The cost of computing the EERPA correction is similar to that of the familiar RPA correlation, while the reference GVB wavefunction scales as \(N_{\mathrm{g}}M^4\), where *M* is the basis set size and \(N_{\mathrm{g}}\)—the number of geminals [24],

The goal of this paper is to explore further capabilities of EERPA and show its usefulness in predicting not only values of interacting energy but also in getting insight into interaction between monomers. We firstly recap the theoretical framework of EERPA-GVB, then we show the method’s robustness using examples of dispersion-dominated and hydrogen-bonded dimers, and finally we analyze the behavior of two van der Waals complexes with twisted or broken bonds.

*N*is a number of electrons assumed to be even. Each \(\varPsi ^{I}\) is an antisymmetric two-electron wavefunction, called a geminal. The antisymmetry of the total wavefunction is assured by the antisymmetrizing operator \(\hat{A}\), which includes a proper normalization factor. Geminals are constrained to be strongly orthogonal [25, 29]

*p*and

*q*are used in expansion of the same geminal (cf. Eq. (3)), whereas \((1-\delta _{I_{p}I_{q}})\) is different from zero for two orbitals

*p*and

*q*belonging to two different geminals. A quick look at the GVB energy expression reveals immediately its main appealing features: electron pair correlation is accounted for due to presence of the middle term (GVB goes beyond a single particle picture), the number of CI coefficients undergoing optimization is only equal to

*N*. In addition, active orbitals in GVB are unique and the number of them is

*N*. Taking into account that in widely used multireference methods like CASSCF or MCSCF the number of CI coefficients is exponentially growing and the choice of active orbitals is often problematic and arbitrary, it becomes clear that the GVB ansatz is more computationally attractive than the latter methods. Deficiencies of GVB have been known, see, e.g., Refs. [31, 32, 33], and they include a deteriorated performance for molecules described by more than one Lewis structure, failure in dissociating multiple bonds, practical limitation to closed-shell systems and the lack of dispersion energy in weakly interacting systems. Recently we have shown that GVB, when corrected with properly designed correlation energy corrections, yields excellent results for molecules undergoing conformational changes [30, 34], and for molecular interactions [22]. For the convenience of the reader, we will present two correlation energy corrections: ERPA and EERPA. The former is generally applicable and can be seen as extension of the random phase approximation (RPA) [35] correlation energy for multireference wavefunction. EERPA (Embedding ERPA), on the other hand, in its current formulation is applicable to weakly interacting dimers.

*S*the \({{\mathcal {A}}}\), \({{\mathcal {B}}}\), and \({{\mathcal {N}}}\) matrices (assumed to be real-valued) are determined from the one- and two-electron reduced density matrices, \(\gamma ^{S}\) and \(\varGamma ^{S}\), obtained from an assumed reference wavefunction (GVB in this case)

*p*,

*q*,

*r*,

*s*belong to the same geminal. In this way, intra-geminal correlation energy already included in the GVB ansatz is excluded from \(E_{\mathrm{corr}}^{\mathrm{ERPA}}\) and double counting of correlation is avoided. The ERPA-GVB interaction energy for a dimer consisting of monomers

*A*and

*B*reads

*A*embedded in

*B*, \(E^A_{\mathrm{corr}}\), results from solving truncated ERPA equations with the following matrices

*A*(a set \(G_{A}\) includes all occupied orbitals assigned to

*A*) and ending in either another orbital from \(G_{A}\) or an unoccupied orbital (

*V*is a set of all unoccupied orbitals) or one of the weakly occupied orbital localized on a monomer

*B*, i.e.,

*B*embedded in

*A*, \(E_{\mathrm{corr}}^{B}\), is obtained analogously. \(E_{\mathrm{corr}}^{AB}\), the remaining term in the EERPA correlation energy expression for a dimer (13), accounts for inter-monomer correlation effects and it is obtained by solving ERPA equations for a dimer with the matrices

## 2 Weakly bounded complexes in- and out-of-equilibrium geometry in the EERPA-GVB picture

### 2.1 Computational details

To highlight the properties of the ERPA-GVB and EERPA-GVB approaches, we carried out calculations of interaction energies for a number of weakly interacting dimers bound by hydrogen bonds, such as \(\hbox {NH}_{3}{\cdots }\hbox {H}_{2}\hbox {O}\), hydrogen sulfide and water dimers, and for van der Waals (vdW) complexes where dispersion energy is the driving force, i.e., in \(\hbox {He}{\cdots }\hbox {Ne}\), acetylene and ethene dimers. All systems are described by the aug-cc-pVDZ basis set [42]. To judge the accuracy of those results, we computed CCSD(T) energies as implemented in the DALTON software package [43] in the same basis set. We also performed SAPT2+3(CCD) (hereafter referred to as SAPT) computations [44] using Psi4 software [45].

In addition, we performed an analysis of the basis set dependence (in basis sets aug-cc-\(\hbox {pV}\zeta \hbox {Z}\), where \(\zeta =2,\dots ,6\)) of ERPA-GVB and EERPA-GVB methods using the example of helium dimer.

We have also focused on dimers involving molecules in out-of-equilibrium geometries, i.e., ethene dimer with one of the monomers twisted, ethene–fluorine complex with F–F bond stretched and compressed, and the same complex with ethene molecule twisted. Those computations were also performed in aug-cc-pVDZ basis set.

Interaction energies computed with supermolecular methods were corrected for the basis set superposition error (BSSE) using the Boys’ counterpoise correction [46]. GVB computations were performed in a developer version of DALTON software package [43]. ERPA and EERPA corrections were computed in our in-house code interfaced with DALTON. Core orbitals were correlated. The only orbitals included in the “active” set as described in Ref. [30] were those involved in twisting or stretching of the bonds. The equilibrium geometries of studied complexes were taken from NIB database developed by Truhlar et al. [47].

### 2.2 Results and discussion

Interaction energies of dispersion-dominated systems in kcal/mol computed in aug-cc-pVDZ basis set

CCSD(T) | MP2 | GVB | ERPA-GVB | EERPA-GVB | SAPT | Elst+Exch+Ind | |
---|---|---|---|---|---|---|---|

\(\hbox {He}{\cdots }\hbox {Ne}\) | − 0.029 | − 0.020 | 0.024 | − 0.014 | − 0.029 | − 0.017 | 0.020 |

(0.009) | (0.053) | (0.015) | (0.000) | (0.012) | (−0.049) | ||

\((\hbox {C}_2\hbox {H}_2)_2\) | − 1.12 | − 1.23 | − 0.33 | − 0.96 | − 1.16 | − 1.21 | − 0.33 |

(− 0.11) | (0.78) | (0.16) | (− 0.04) | (− 0.10) | (0.79) | ||

\((C_2\hbox {H}_4)_2\) | − 1.14 | − 1.21 | 0.54 | − 0.78 | − 1.12 | − 1.23 | 0.61 |

(− 0.07) | (1.68) | (0.36) | (0.02) | (− 0.09) | (1.75) |

Interaction energies of hydrogen-bonded systems in kcal/mol computed in aug-cc-pVDZ basis set

CCSD(T) | MP2 | GVB | ERPA-GVB | EERPA-GVB | SAPT | Elst+Exch+Ind | |
---|---|---|---|---|---|---|---|

\((\hbox {H}_2\hbox {O})_2\) | − 4.40 | − 4.44 | − 2.48 | − 3.76 | − 4.86 | − 4.53 | − 2.59 |

(− 0.04) | (1.92) | (0.64) | (− 0.46) | (− 0.13) | (1.81) | ||

\(\hbox {NH}_3 {\cdots }\hbox {H}_2\hbox {O}\) | − 5.70 | − 5.85 | − 2.97 | − 4.88 | − 6.29 | − 6.01 | − 3.21 |

(− 0.15) | (2.73) | (0.83) | (− 0.59) | (− 0.31) | (2.49) | ||

\((\hbox {H}_2\hbox {S})_2\) | − 1.35 | − 1.53 | − 0.23 | − 1.04 | − 1.52 | − 1.49 | − 0.19 |

(− 0.18) | (1.12) | (0.31) | (− 0.17) | (− 0.13) | (1.16) |

The true advantage of EERPA-GVB lies however elsewhere, i.e., in its ability to accurately describe the interactions of systems out-of-equilibrium geometry when bonds are stretched or broken and one (or both) of the monomers requires multireference description. This ability gives one a nearly unique opportunity to elucidate the effects of the non-covalent interactions on systems attempting chemical reactions.

*p*,

*q*,

*r*,

*s*of which at least one is assigned to one of a geminal \(I_A\) localized on the monomer

*A*and at least one is assigned to a geminal localized on

*B*, \(I_B\)

*V*indicates a set of unoccupied orbitals. Therefore, contribution to inter-monomer correlation energy from a pair of geminals, one localized on

*A*and the other on

*B*can be extracted from \(E^{AB}_{\mathrm{corr}}\) by selecting only terms with indices pertaining to Eq. (27). By excluding terms corresponding to a \(\pi\)-bond-geminal interacting with lone-pair geminals localized on the fluorine atom \(\hbox {F}_1\), closer to the ethylene molecule, one can check how much the \(\pi\)-bond–lone pairs (LP) interaction contributes to the total binding energy of the charge-transfer complex of ethylene and fluorine and how this changes upon the twisting of ethylene molecule. In Fig. 7, we can see that for flat ethylene the \(\pi\)–LP interaction constitutes about \(40\%\) of the total binding. This observation does not hold for twisted ethylene, where the binding energy is small and the role of the corresponding interaction (LP-

*p*orbitals on ethylene) is minor. Hypothesis about the special character of \(\pi\)-bonds in non-covalent interactions is here again reaffirmed.

Studying such systems as the complex of fluorine molecule and twisted ethylene brings insight into the interactions of electrons forming different types of bonds, but what is more important, the interactions of molecules out-of-equilibrium geometry have very practical consequences. Namely, they facilitate (or obstruct) chemical reactions. Only recently it has finally been confirmed experimentally that by selective vibration excitation one can accelerate certain chemical reactions [52] Such an acceleration due to throwing one of the reactants out of equilibrium can be a geometry-related effect (e.g., more favorable relative position of fragments of reactants taking part in the reaction) but it can also be an electronic-structure effect related to a bond twist or stretch.

Take, e.g., the reaction of ethylene fluorination. As the simplest example of organic molecule fluorination, it is interesting both for theorists and experimentalists. Despite its simplicity, there is a large discrepancy between the experimentally and theoretically determined reaction barrier heights [53, 54]. The experimentally observed barrier is lower than those obtained by state-of-the-art theoretical approaches, and it was hypothesized that the thermal vibrations of \(\hbox {F}_2\) molecule may promote reaction [53].

We studied a T-shaped structure of the \(\hbox {C}_2\hbox {H}_4{\cdots }\hbox {F}_2\) complex at different intermolecular distances and \(\hbox {F}_2\) bond lengths (see Fig. 8). One can immediately see that as \(\hbox {F}_2\) bond is stretched, the vdW minimum deepens. A maximal attraction is achieved when the \(\hbox {F}_2\) bond is stretched to c.a. 4.80 a.u. and the distance between the monomers is only 3.20 a.u. While in real systems vibrations do not cause the bonds to be stretched this much, even close to the equilibrium along this stretching mode, the interaction energy grows significantly enough to have impact on the reaction barrier. Additionally, we see that the optimal intermolecular distance diminishes along this stretching mode. While those observations do not allow one to determine the height of the fluorination barrier energy, they do highlight the importance of accurate description of non-covalent interactions, while the molecules are attempting a reaction. Since even highly sophisticated coupled-cluster methods frequently fail at this task [22], it is unsurprising that the computed value of a reaction barrier may be inaccurate.

## 3 Conclusions

We have shown that the Embedding Extended Random Phase Approximation GVB method produces results on par with CCSD(T) for dispersion-dominated van der Waals complexes and is similar in accuracy to SAPT(CCD) when it comes to hydrogen-bonded systems. The method is particularly useful when it comes to non-covalently bonded complexes involving molecules out of their equilibrium geometries, as it is able to simultaneously capture both the energetic effects of bond stretching and twisting and more subtle van der Waals interactions.

To showcase this advantage, we have employed EERPA-GVB to study two unusual vdW systems, for which single-reference methods like MP2 break down. The first, a T-shaped ethylene dimer where one of the C=C bonds was twisted, was compared to its classic, flat counterpart, which highlighted the importance of the \(\pi\)–\(\sigma\) interaction and the particular role that \(\pi\) electrons play in dispersion interactions.

Role of \(\pi\) electrons was shown to be equally prominent in another studied system: a \(\hbox {C}_2\hbox {H}_4{\cdots }\hbox {F}_2\) complex. We have demonstrated the significance of a lone pairs–\(\pi\) interaction, by not only comparing the interaction energy for complexes of twisted and flat ethylene with fluorine, but also by decomposing the inter-monomer correlation energy expression into contributions from interactions between pairs of geminals. Such energy decomposition is also possible for any other system, and since geminals are usually localized on bonds and atoms, it is an excellent and intuitive interpretive tool. It could be employed, e.g., to investigate also \(\pi {-}\pi\), \(\pi {-}\sigma\) and other types of interactions.

Finally, we have shown that stretching the \(\hbox {F}_2\) bond in the same ethylene–fluorine complex causes a significant deepening of the vdW minimum, which is a result of a rise in the dispersion interaction. The enhanced attraction between the molecules may facilitate the ethylene fluorination reaction when the fluorine molecule is thermally excited to a stretching vibrational mode.

We conclude that EERPA-GVB is a useful tool to study molecular interaction qualitatively and quantitatively when bonds stretching, breaking or twisting is involved. This area is largely unexplored due to the lack of theoretical methods of both sufficient accuracy and modest computational cost. EERPA-GVB fills this gap in the computational chemistry toolbox.

Finally, it is worth mentioning that the concept of embedding a group of electrons of one monomer in a field created by electrons in another monomer, exploited in the EERPA correlation correction, can be applied to smaller localized entities, i.e., to geminals. Such an approach would extend the applicability of EERPA to any system and is under development in our group.

## Notes

### Acknowledgements

This work was supported by the National Science Center of Poland under Grant Nos. 2016/23/B/ST4/02848 and 2017/26/D/ST4/00780.

## References

- 1.Woods L, Dalvit D, Tkatchenko A, Rodriguez-Lopez P, Rodriguez A, Podgornik R (2016) Rev Mod Phys 88(4):045003/1CrossRefGoogle Scholar
- 2.Wheeler SE, Seguin TJ, Guan Y, Doney AC (2016) Acc Chem Res 49(5):1061CrossRefGoogle Scholar
- 3.Pollino JM, Weck M (2005) Chem Soc Rev 34(3):193CrossRefGoogle Scholar
- 4.Chang XY, Ehlich R, Hudson AJ, Piecuch P, Polanyi JC (1997) Faraday Discuss 108:411CrossRefGoogle Scholar
- 5.Fabrizio A, Corminboeuf C (2018) J Chem Phys Lett 9(3):464CrossRefGoogle Scholar
- 6.Heindl AH, Wende RC, Wegner HA (2018) Beilstein J Org Chem 14(1):1238CrossRefGoogle Scholar
- 7.Liakos DG, Neese F (2015) J Chem Theory Comput 11(9):4054CrossRefGoogle Scholar
- 8.Piecuch P, Włoch M (2005) J Chem Phys 123(22):224105CrossRefGoogle Scholar
- 9.Hohenberg P, Kohn W (1964) Phys Rev 136(3B):B864CrossRefGoogle Scholar
- 10.Grimme S, Hansen A, Brandenburg JG, Bannwarth C (2016) Chem Rev 116(9):5105CrossRefGoogle Scholar
- 11.Jeziorski B, Moszynski R, Szalewicz K (1994) Chem Rev 94(7):1887CrossRefGoogle Scholar
- 12.Jansen G (2013) WIREs Comput Mol Sci 4(2):127CrossRefGoogle Scholar
- 13.Mo Y, Gao J, Peyerimhoff SD (2000) J Chem Phys 112(13):5530CrossRefGoogle Scholar
- 14.Khaliullin RZ, Cobar EA, Lochan RC, Bell AT, Head-Gordon M (2007) J Phys Chem A 111(36):8753CrossRefGoogle Scholar
- 15.Parrish RM, Gonthier JF, Corminbœuf C, Sherrill CD (2015) J Chem Phys 143(5):051103CrossRefGoogle Scholar
- 16.Pastorczak E, Prlj A, Gonthier JF, Corminboeuf C (2015) J Chem Phys 143(22):224107CrossRefGoogle Scholar
- 17.Skouteris D, Manolopoulos DE, Bian W, Werner HJ, Lai LH, Liu K (1999) Science 286(5445):1713CrossRefGoogle Scholar
- 18.Xie T, Wang D, Bowman JM, Manolopoulos DE (2002) J Chem Phys 116(17):7461CrossRefGoogle Scholar
- 19.Shen Z, Ma H, Zhang C, Fu M, Wu Y, Bian W, Cao J (2017) Nat Commun 8:1CrossRefGoogle Scholar
- 20.Jankunas J, Sneha M, Zare RN, Bouakline F, Althorpe SC, Herraez-Aguilar D, Aoiz FJ (2014) Proc Natl Acad Sci USA 111(1):15CrossRefGoogle Scholar
- 21.Li J, Jiang B, Guo H (2013) Chem Sci 4:629CrossRefGoogle Scholar
- 22.Pastorczak E, Shen J, Hapka M, Piecuch P, Pernal K (2017) J Chem Theory Comput 13:5404CrossRefGoogle Scholar
- 23.Zoboki T, Szabados A, Surján P (2013) J Chem Theory Comput 9:2602CrossRefGoogle Scholar
- 24.Rassolov VA (2002) J Chem Phys 117(13):5978CrossRefGoogle Scholar
- 25.McWeeny R (1959) Proc R Soc A 253:242CrossRefGoogle Scholar
- 26.Bobrowicz FW, Goddard WA (1977) In: Schaefer HF III (ed) Modern Theoretical Chemistry: Methods of Electronic Structure Theory. Plenum, New York, pp 79–127CrossRefGoogle Scholar
- 27.Hurley AC, Lennard-Jones JE, Pople JA (1953) Proc R Soc A 220:446CrossRefGoogle Scholar
- 28.Kutzelnigg W (1964) J Chem Phys 40:3640CrossRefGoogle Scholar
- 29.Arai T (1960) J Chem Phys 33:95CrossRefGoogle Scholar
- 30.Chatterjee K, Pastorczak E, Jawulski K, Pernal K (2016) J Chem Phys 144:244111/1CrossRefGoogle Scholar
- 31.Surján PR (1999) Topics in current chemistry, vol 203. Springer, Berlin, pp 63–88Google Scholar
- 32.Surján P, Szabados A, Jeszenszki P, Zoboki T (2012) J Math Chem 50:534CrossRefGoogle Scholar
- 33.Jeszenszki P, Rassolov V, Surján P, Szabados A (2015) Mol Phys 113:249CrossRefGoogle Scholar
- 34.Pastorczak E, Pernal K (2015) Phys Chem Chem Phys 17:8622CrossRefGoogle Scholar
- 35.McLachlan AD, Ball MA (1964) Rev Mod Phys 36:844CrossRefGoogle Scholar
- 36.Gambacurta D, Catara F (2008) Phys Rev B 77:205434CrossRefGoogle Scholar
- 37.Chatterjee K, Pernal K (2012) J Chem Phys 137:204109/1Google Scholar
- 38.Chatterjee K, Pernal K (2015) Theor Chem Acc 134:118CrossRefGoogle Scholar
- 39.Pernal K (2014) J Chem Theory Comput 10:4332CrossRefGoogle Scholar
- 40.Pernal K (2018) Phys Rev Lett 120:013001CrossRefGoogle Scholar
- 41.Pernal K (2016) Phys Chem Chem Phys 18:21111CrossRefGoogle Scholar
- 42.Kendall RA, Dunning Jr TH, Harrison RJ (1992) J Chem Phys 96(9):6796CrossRefGoogle Scholar
- 43.Aidas K, Angeli C, Bak KL, Bakken V, Bast R, Boman L, Christiansen O, Cimiraglia R, Coriani S, Dahle P, Dalskov EK, Ekström U, Enevoldsen T, Eriksen JJ, Ettenhuber P, Fernández B, Ferrighi L, Fliegl H, Frediani L, Hald K, Halkier A, Hättig C, Heiberg H, Helgaker T, Hennum AC, Hettema H, Hjertenæs E, Høst S, Høyvik IM, Iozzi MF, Jansík B, Jensen HJA, Jonsson D, Jørgensen P, Kauczor J, Kirpekar S, Kjærgaard T, Klopper W, Knecht S, Kobayashi R, Koch H, Kongsted J, Krapp A, Kristensen K, Ligabue A, Lutnæs OB, Melo JI, Mikkelsen KV, Myhre RH, Neiss C, Nielsen CB, Norman P, Olsen J, Olsen JMH, Osted A, Packer MJ, Pawlowski F, Pedersen TB, Provasi PF, Reine S, Rinkevicius Z, Ruden TA, Ruud K, Rybkin VV, Sałek P, Samson CCM, de Merás AS, Saue T, Sauer SPA, Schimmelpfennig B, Sneskov K, Steindal AH, Sylvester-Hvid KO, Taylor PR, Teale AM, Tellgren EI, Tew DP, Thorvaldsen AJ, Thøgersen L, Vahtras O, Watson MA, Wilson DJD, Ziolkowski M, Ågren H (2014) WIREs Comput Mol Sci 4(3):269CrossRefGoogle Scholar
- 44.Hohenstein EG, Sherrill CD (2010) J Chem Phys 133(1):014101CrossRefGoogle Scholar
- 45.Parrish RM, Burns LA, Smith DGA, Simmonett AC, DePrince AE, Hohenstein EG, Bozkaya U, Sokolov AY, Di Remigio R, Richard RM, Gonthier JF, James AM, McAlexander HR, Kumar A, Saitow M, Wang X, Pritchard BP, Verma P, Schaefer HF, Patkowski K, King RA, Valeev EF, Evangelista FA, Turney JM, Crawford TD, Sherrill CD (2017) J Chem Theory Comput 13(7):3185CrossRefGoogle Scholar
- 46.Boys SF, Bernardi F (1970) Mol Phys 19(4):553CrossRefGoogle Scholar
- 47.Zhao Y, Truhlar DG (2005) J Phys Chem A 109(25):5656CrossRefGoogle Scholar
- 48.Gdanitz RJ (2000) J Chem Phys 113(13):5145CrossRefGoogle Scholar
- 49.Dulieu O, Osterwalder A (2017) Cold chemistry: molecular scattering and reactivity near absolute zero, vol 11. Royal Society of Chemistry, CambridgeCrossRefGoogle Scholar
- 50.Cao Y, Wong MW (2014) J Mol Model 20(4):2185CrossRefGoogle Scholar
- 51.Hermann J, Alfe D, Tkatchenko A (2017) Nat Commun 8:14052CrossRefGoogle Scholar
- 52.Stensitzki T, Yang Y, Kozich V, Ahmed AA, Kössl F, Kühn O, Heyne K (2018) Nat Chem 10:126CrossRefGoogle Scholar
- 53.Lu YJ, Xie T, Fang JW, Shao HC, Lin JJ (2008) J Chem Phys 128(18):184302CrossRefGoogle Scholar
- 54.Feng H, Allen WD (2010) J Chem Phys 132(9):094304CrossRefGoogle Scholar

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