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Variational 2-RDM Method

Copyright (c) RDMCHEM LLC 2020

 

 

Overview

V2RDM

References

Overview

Because electrons are indistinguishable with pairwise interactions, the energy of any atom or molecule can be expressed as a linear functional of the two-electron reduced density matrix (2-RDM).  Not every two-electron density matrix, however, corresponds to an N-electron wave function or density matrix.  Consequently, we need to constrain the 2-RDM to represent at least one N-electron density matrix through constraints known as N-representability conditions.  An approximate set of N-representability conditions is known as the 2-positivity (or DQG) conditions.  The 2-positivity conditions correspond to constraining three matrix forms of the 2-RDM, corresponding to the probability distributions of two particles (D), two holes (Q), and a particle-hole pair (G), to be positive semidefinite.  (A matrix is positive semidefinite if an only if its eigenvalues are nonnegative).  Formally, we can represent the positive semidefiniteness of the D, Q, and G matrices as

2D ≥ 0  

2Q ≥ 0  

2G ≥ 0 .

Minimization of the ground-state energy with respect to these conditions generates a special type of optimization problem known as a semidefinite program.  In the variational 2-RDM method the semidefinite program with N-representability conditions on the 2-RDM is directly solved for the ground-state energy and 2-RDM without computing the many-electron wave function.    

Figure 1: 1-electron density of diphenyl disulfide 

V2RDM

After loading the Quantum Chemistry package, we explore the ground-state energy and orbitals, dipole moment, and ionization energy of diphenyl disulphide with V2RDM.  

Quantum Chemistry

We set the number of Digits to be used in computations to 15 and load the Quantum Chemistry package using Maple's with command.

> 

Digits ≔ 15;

Digits≔15

(2.1.1)
> 

withQuantumChemistry;

AOLabels,ActiveSpaceCI,ActiveSpaceSCF,AtomicData,BondAngles,BondDistances,Charges,ChargesPlot,CorrelationEnergy,CoupledCluster,DensityFunctional,DensityPlot3D,Dipole,DipolePlot,Energy,ExcitationEnergies,ExcitationSpectra,ExcitationSpectraPlot,ExcitedStateEnergies,ExcitedStateSpins,FullCI,GeometryOptimization,HartreeFock,Interactive,Isotopes,MOCoefficients,MODiagram,MOEnergies,MOIntegrals,MOOccupations,MOOccupationsPlot,MOSymmetries,MP2,MolecularData,MolecularGeometry,NuclearEnergy,NuclearGradient,OscillatorStrengths,Parametric2RDM,PlotMolecule,Populations,RDM1,RDM2,RTM1,ReadXYZ,Restore,Save,SaveXYZ,SearchBasisSets,SearchFunctionals,SkeletalStructure,Thermodynamics,TransitionDipolePlot,TransitionDipoles,TransitionOrbitalPlot,TransitionOrbitals,Variational2RDM,VibrationalModeAnimation,VibrationalModes,Video

(2.1.2)
> 

 

Energy

We compute the energy of diphenyl disulphide.
   
First, we define the geometry, which we obtained from the MolecularGeometry command

> 

mol ≔ S,−0.55610000,−1.83210000,−0.97360000,S,0.62630000,−1.92950000,0.70830000,C,−1.79690000,−0.65310000,−0.47620000,C,1.82150000,−0.64580000,0.38420000,C,−2.60700000,−0.91680000,0.62830000,C,1.57350000,0.65950000,0.80660000,C,−1.95740000,0.53360000,−1.19130000,C,3.00290000,−0.94940000,−0.29110000,C,−3.57770000,0.00620000,1.01760000,C,2.50850000,1.66310000,0.55330000,C,−2.92800000,1.45670000,−0.80200000,C,3.93800000,0.05420000,−0.54430000,C,−3.73820000,1.19290000,0.30240000,C,3.69070000,1.36050000,−0.12220000,H,−2.50880000,−1.83880000,1.19590000,H,0.65860000,0.91480000,1.33560000,H,−1.33440000,0.75710000,−2.05390000,H,3.21330000,−1.96160000,−0.62770000,H,−4.21010000,−0.19990000,1.87620000,H,2.31610000,2.68020000,0.88210000,H,−3.05270000,2.38110000,−1.35840000,H,4.85860000,−0.18120000,−1.07020000,H,−4.49420000,1.91150000,0.60530000,H,4.41880000,2.14190000,−0.31940000;

mol≔S,−0.55610000,−1.83210000,−0.97360000,S,0.62630000,−1.92950000,0.70830000,C,−1.79690000,−0.65310000,−0.47620000,C,1.82150000,−0.64580000,0.38420000,C,−2.60700000,−0.91680000,0.62830000,C,1.57350000,0.65950000,0.80660000,C,−1.95740000,0.53360000,−1.19130000,C,3.00290000,−0.94940000,−0.29110000,C,−3.57770000,0.00620000,1.01760000,C,2.50850000,1.66310000,0.55330000,C,−2.92800000,1.45670000,−0.80200000,C,3.93800000,0.05420000,−0.54430000,C,−3.73820000,1.19290000,0.30240000,C,3.69070000,1.36050000,−0.12220000,H,−2.50880000,−1.83880000,1.19590000,H,0.65860000,0.91480000,1.33560000,H,−1.33440000,0.75710000,−2.05390000,H,3.21330000,−1.96160000,−0.62770000,H,−4.21010000,−0.19990000,1.87620000,H,2.31610000,2.68020000,0.88210000,H,−3.05270000,2.38110000,−1.35840000,H,4.85860000,−0.18120000,−1.07020000,H,−4.49420000,1.91150000,0.60530000,H,4.41880000,2.14190000,−0.31940000

(2.2.1)


Then we compute the energy from V2RDM with the Variational2RDM command.  We select an active space of 6 electrons in 6 orbitals (the active space is the set of electrons and orbitals that will be treated beyond the Hartree-Fock (mean-field) approximation) in the sto-6g basis set

> 

data ≔ Variational2RDMmol, basis=sto-6g, active=6,6;

> 

 

The ground-state energy is given by

> 

datae_tot;

−1251.46515496

(2.2.2)

 

(a) Compute the energy using the [10,10] active space, and compare your result with the energy from the [6,6] active space.

 

The V2RDM captures electron correlation of the active orbitals which can be observed from the molecular orbital occupations

> 

datamo_occ55..60;

1.999789251.998647551.992309950.004889680.002403100.00196058

(2.2.3)

 

The highest occupied molecular orbital (HOMO) can be visualized with the DensityPlot3D command

> 

DensityPlot3Dmol,data,basis=sto-6g, orbitalindex=57; # HOMO

> 

DensityPlot3Dmol,data,basis=sto-6g, orbitalindex=58; # LUMO

 

(b) Compare these molecular orbital occupations and densities with those from a [10,10] active space.

 

Dipole Moment

We have the dipole moment from our previous calculation

> 

datadipole;

0.082043001.119573830.06577923

(2.3.1)

 

We can visualize the direction of the dipole moment with the DipolePlot command (click on molecule to rotate the perspective)

> 

DipolePlotmol, 'Variational2RDM', basis=sto-6g,active=6,6;

 

(c) Compute the dipole and its plot with the [10,10] active space, and compare the results with those from the [6,6] active space.

 

Ionization Energy

We can compute the ionization energy by computing the energy of the ionized molecule

> 

data2 ≔ Variational2RDMmol, basis=sto-6g, active=5,6, charge=1;

Therefore, the ionization energy is given by

> 

IE_hartree ≔ data2e_tot−datae_tot⋅UnitsUnithartree;

IE_hartree≔0.19229399⁢E0

(2.4.1)

 

which we can convert from hartrees to eV

> 

IE_eV ≔ convertIE_hartree,units,eV;

IE_eV≔5.23258600⁢eV

(2.4.2)
> 

 

(d) Compare this ionization energy (in eV) with the ionization energy (in eV) predicted using the [10,10] active space.

 

References

1. 

D. A. Mazziotti, Phys. Rev. Lett. 106, 083001 (2011). "Large-scale semidefinite programming for many-electron quantum mechanics"

2. 

D. A. Mazziotti, Phys. Rev. Lett. 93, 213001 (2004). "Realization of quantum chemistry without wave functions through first-order semidefinite programming"

3. 

A. W. Schlimgen, C. W. Heaps, and D. A. Mazziotti, J. Phys. Chem. Lett. 7, 627-631 (2016). "Entangled electrons foil synthesis of elusive low-valent vanadium oxo complex"

4. 

J. M. Montgomery and D. A. Mazziotti, J. Phys. Chem. A 122, 4988-4996 (2018). "Strong electron correlation in nitrogenase cofactor, FeMoco"


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