Physical Chemistry II: Quantum Chemistry Lecture 20: Introduction - - PowerPoint PPT Presentation

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Physical Chemistry II: Quantum Chemistry Lecture 20: Introduction - - PowerPoint PPT Presentation

Physical Chemistry II: Quantum Chemistry Lecture 20: Introduction to Computational Quantum Chemistry Yuan-Chung Cheng yuanchung@ntu.edu.tw 5/14/2019 Tutorial Information n https://ceiba.ntu.edu.tw/1063NCHUCompChem01 n Books: Computational


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Physical Chemistry II: Quantum Chemistry Lecture 20: Introduction to Computational Quantum Chemistry

Yuan-Chung Cheng yuanchung@ntu.edu.tw 5/14/2019

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SLIDE 2

Tutorial Information

n https://ceiba.ntu.edu.tw/1063NCHUCompChem01 n Books:

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SLIDE 3

Computational Chemistry Overview

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Quantum Chemistry

Paul Dirac The general theory of quantum mechanics is now complete... The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known – Paul Dirac, 1929.

Right: QM is the foundation

  • f Chemistry

Wrong: Not so fast - complexities necessitate approximations Nowadays we have powerful computers!!

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SLIDE 5

The Nobel Prize in Chemistry 1998

John A. Pople "for his development of computational methods in quantum chemistry" Walter Kohn "for his development of the density- functional theory”

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SLIDE 6

The Nobel Prize in Chemistry 2013

Martin Karplus Michael Levitt Arieh Warshel

2013 Nobel Chemistry Prize jointly to Martin Karplus, Michael Levitt and Arieh Warshel "for the development of multiscale models for complex chemical systems".

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SLIDE 7

Computational Chemistry Methods

n Molecular mechanics n Semiempirical molecular orbital methods n Ab initio molecular orbital methods n Density functional method n Quantum Monte Carlo method n …

Yields Energy, Structure, and Properties

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SLIDE 8

Molecular Mechanics

n Simplest type of calculation

¨ Used when systems are very large and approaches that are more

accurate become to costly (in time and memory)

n Does not use any quantum mechanics instead uses

parameters derived from experimental or ab initio data

¨ Uses information like bond stretching, bond bending, torsions,

electrostatic interactions, van der Waals forces and hydrogen bonding to predict the energetics of a system

¨ The energy associated with a certain type of bond is applied

throughout the molecule. This leads to a great simplification of the equation

n It should be clarified that the energies obtained from molecular

mechanics do not have any physical meaning, but instead describe the difference between varying conformations (type of isomer). Molecular mechanics can supply results in heat of formation if the zero of energy is taken into account.

Courtesy of Shalayna Lair, University of Texas at El Paso

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SLIDE 9

Semiempirical

n Semiempirical methods use experimental data to parameterize

equations

n Like the ab initio methods, a Hamiltonian and wave function are

used

¨ much of the equation is approximated or eliminated

n Less accurate than ab initio methods but also much faster n The equations are parameterized to reproduce specific results,

usually the geometry and heat of formation, but these methods can be used to find other data.

Courtesy of Shalayna Lair, University of Texas at El Paso

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SLIDE 10

Ab Initio Methods

n “Ab initio” – Latin, means “from the beginning” or “from

first principles.”

n No experimental input is used and calculations are

based on fundamental laws of physics.

n Various levels of ab initio calculations (jargons):

¨ Hartree-Fock Self-Consistent Field (HF-SCF)

n simplest ab initio MO calculation n electron correlation is not taken into consideration.

¨ Configuration Interaction (CI) ¨ Coupled-Cluster (CC) ¨ The Møller-Plesset Perturbation Theory (MP) ¨ Density Functional Theory (DFT)

Include electron correlation

Courtesy of Shalayna Lair, University of Texas at El Paso

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SLIDE 11

Courtesy of Donald G Truhlar

Quantum Chemistry

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SLIDE 12

Hartree-Fock SCF Review

Slides from Hai Lin

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SLIDE 13

Schrödinger Equation

2 n

n

2 1

a N a a

M Ñ

  • = å

T

å

Ñ

  • =

e

N i i

m

2 e e

2 1 T

Kinetic energy of nuclei Kinetic energy of electrons Coulombic energy between nuclei Coulombic energy between electrons Coulombic energy between nuclei and electrons

H = Tn + Te + Vnn + Vee + Vne

n1 n2 e1 e2

åå

>

=

n n

nn N a N a b ab b a

r Z Z V

åå

>

=

e e 1

ee N i N j i ij

r V

åå

=

n e

ne N a N i ai a

r Z V

Courtesy of Hai Lin

HΨ = EΨ

The “electronic structure problem”

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SLIDE 14

Approximations

To solve the Schrödinger equation approximately, assumptions are made to simplify the equation:

  • Born-Oppenheimer approximation allows separate

treatment of nuclei and electrons. (ma >> me)

  • Hartree-Fock independent electron approximation

allows each electron to be considered as being affected by the sum (field) of all other electrons.

  • LCAO Approximation represents molecular orbitals as

linear combinations of atomic orbitals (basis functions).

Courtesy of Hai Lin

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SLIDE 15

Born-Oppenheimer Approximation

  • Nuclei are much heavier than electrons (ma / me > 1836) and

move much slower.

  • Effectively, electrons adjust themselves instantaneously to

nuclear configurations.

  • Electron and nuclear motions are uncoupled, thus the energies
  • f the two are separable.

Energy Internuclear Distance

  • 1. For a given nuclear

configuration, one calculates electronic energy.

  • 2. As nuclei move continuously,

the points of electronic energy joint to form a potential energy surface on which nuclei move.

  • Elec. Schrodinger equation: H(R)Ψ(R) = E(R)Ψ(R)
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Basic Quantum Mechanics

HΨ = EΨ

Ψ = Ψ(x1,x2...,xN )

The N-electron wave function is a function with 3N dimensions, this is too complicated to even “think about” practically for systems with > 3 electrons à must simplify the functional form of the wave function.

E = Ψ ˆ H Ψ ≥ Eexact

Variational principle: Schrodinger equation:

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SLIDE 17

Many-electron Wave function

e1 e2 eN ei

Pauli principle: Two electrons can not have all quantum number equal. This requires that the total (many-electron) wave function is anti-symmetric whenever one exchanges two electrons’ coordinates. Hartree product: All electrons are independent, each in its own orbital. Slater determinant satisfies the Pauli exclusion principle.

ψ HP(x1,x2,...,xN ) = f1(x1) f2(x2) fN (xN ) ψ (x1,x2,...,xN ) = −ψ (x2,x1,...,xN )

ψ (x1,x2,…xN ) = 1 N! f1(x1) f2(x1)  fN (x1) f1(x2) f2(x2)  fN (x2)     f1(xN ) f2(xN )  fN (xN )

Courtesy of Hai Lin

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Many-electron Wave function (2)

e1 e2

The total (many-electron) wavefuntion is anti-symmetric when one exchanges two electrons’ coordinates x1 and x2. Hartree product: Both electrons are independent. Slater determinant satisfies the Pauli principle.

Example: A two-electron system.

ψ HP(x1,x2) = f1(x1) f2(x2)

ψ (x1,x2) = 1 2 f1(x1) f2(x1) f1(x2) f2(x2) ψ (x1,x2) = (1/ 2)1/2 f1(x1) f2(x2) − f2(x1) f1(x2)

[ ]

ψ (x2,x1) = (1/ 2)1/2 f1(x2) f2(x1) − f2(x2) f1(x1)

[ ] = −ψ (x1,x2)

Courtesy of Hai Lin

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Hartree-Fock Approximation

+

  • A Fock operator F is introduced for a given electron in the i-th orbital:

Fi fi = ei fi

kinetic energy term of the given electron potential energy term due to fixed nuclei averaged potential energy term due to the other electrons

Fi =

+

fi is the i-th molecular orbital, and ei is the corresponding orbital energy.

Note: The total energy is NOT the sum of orbital energies. If you sum them up, you count the electron-electron interactions twice.

… e1 e2 eN ei

  • Assume the wave function is a single Slater determinant.
  • Each electron “feels” all other electrons as a whole (field of

charge), .i.e., an electron moves in a mean-field generated by all other electrons. à variational ground state composed of “optimal” single electron wavefunctions (orbitals)

Courtesy of Hai Lin

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SLIDE 20

The Fock Operator

Kinetic energy term and nuclear attraction for the given electron

å

  • +

=

N j j j i i

) ( K J h F

Core-Hamiltonian

  • perator

Coulomb

  • perator

Exchange

  • perator

Coulombic energy term for the given electron due to another electron Exchange energy due to another electron (A pure quantum mechanical term due to the Pauli principle, no classical interpretation) Courtesy of Hai Lin

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Self-consistency

  • The Fock equation for an electron in

the i-th orbital contains information of all the other electrons (in an averaged fashion), i.e., the Fock equations for all electrons are coupled with each other. ej ek ei

  • Each electron “feels” all the other electrons as a whole (field of

charge), .i.e., an electron moves in a mean-field generated by all the other electrons.

  • All equations must be solved together

(iteratively until self-consistency is obtained). — Self-consistent field (SCF) method.

Courtesy of Hai Lin

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Molecular Orbital & Slater Determinant

  • ccupied
  • rbitals

virtual

  • rbitals

χi(x1) : spin orbital x1 : electron variable

Single-electron wavefunction (orbital!!): N-electron wavefunction: Slater determinants

Ψ(x1,...,xN ) = (N!)1/ 2 χi(x1) χ j(x1)  χk(x1) χi(x2) χ j(x2)  χk(xN )    χi(xN ) χ j(xN )  χk(xN )

Given a basis, Hartree-Fock theory provides a variational groundstate & molecular orbitals within the single determinant approximation è mean-field, no electron correlations

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SLIDE 23

Molecular Orbital & Slater Determinant

  • ccupied
  • rbitals

virtual

  • rbitals

χi(x1) : spin orbital x1 : electron variable

Single-electron wavefunction (orbital!!): N-electron wavefunction: Slater determinants

Ψ(x1,...,xN ) = (N!)1/ 2 χi(x1) χ j(x1)  χk(x1) χi(x2) χ j(x2)  χk(xN )    χi(xN ) χ j(xN )  χk(xN )

Electron configuration: a many-electron wave function constructed from a single slater determinant

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Molecular Orbital & Slater Determinant

  • ccupied
  • rbitals

virtual

  • rbitals

χi(x1) : spin orbital x1 : electron variable

Single-electron wavefunction (orbital!!): N-electron wavefunction: Slater determinants

Ψ(x1,...,xN ) = (N!)1/ 2 χi(x1) χ j(x1)  χk(x1) χi(x2) χ j(x2)  χk(xN )    χi(xN ) χ j(xN )  χk(xN )

χi(x1) written as linear combination of

atomic orbitals à basis functions!

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SLIDE 25

n Use a form that describes hydrogenic

  • rbitals well

¨Slater functions (STO): physical, but difficult to

calculate two-electron integrals

¨Gaussians (GTO): analytical two-electron

integrals, but wrong behavior at nucleus and decays too fast with r

φ1s( r;ζ1) = ζ1

3

π exp(−ζ1  r)

gs  r;α

( ) =

2α π ⎛ ⎝ ⎜ ⎞ ⎠ ⎟

3/4

exp(−α r 2)

LCAO è Basis Functions

Slater function Gaussian

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SLIDE 26

n GTOs have many advantages, most

importantly, product of two Gaussians remains a Gaussian – analytical integrals

Gaussian Basis Functions

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Basis Functions

Hydroden-like atomic orbitals

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n STO-nG: use n Gaussians to approach a Slater-type

  • rbital

n Many basis sets with

different sizes and characteristics: STO-nG, 3-21G, 4-31G, 6-31G*, 6-311G**, cc-pVDZ, cc-pVTZ, aug-cc-pVDZ…

n Choose wisely according

to the problem at hand

Ab initio Jargons: Basis Set

STO-3G for 1s

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Basis Set Size Effects

HF orbital energies of N2 HF occupied and virtual orbital energies of H2O virtual

  • ccupied
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Ab initio Jargons: Closed vs. Open Shell

Closed shell Opposite-spin electrons are all paired up! Open shell There remain unpaired electron spins

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Ab initio Jargons: Restricted vs. Unrestricted

Restricted Hartree-Fock (RHF) α- and β-spin orbitals have common spatial part Unrestricted Hartree-Fock (UHF) α- and β-spin orbitals can have different spatial parts Open shell & unrestricted important for bond breaking events!

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What can be calculated?

From Prof. Dr. Frank Neese, http://www.thch.uni-bonn.de/tc

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Koopmans’ Theorem

For example, HF MO energies give the ionization potential and electron affinity:

  • ccupied
  • rbitals

E=0 Ionization potential

virtual

  • rbitals

E=0 N è N-1 N è N+1 electron affinity

Usually accurate Usually quite bad

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Equilibrium Structures

Calculated by “geometry optimization”

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Vibrational Frequencies

HF-SCF with a large basis set.

“vibrational/normal mode analysis”

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Electron Densities

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Limitations of HF-SCF

n The Hartree-Fock SCF method is limited

by the single Slater determinant approximation

n HF-SCF calculation does not include the

effects of electron correlation

Ecorr = Eexact − EHF

Ecorr: correlation energy

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r1-r2

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Electron Correlation Methods

n Electron correlations can be accounted for

by considering a combination of Slater determinants – post-HF

¨Configuration Interactions (CI) ¨Coupled-Cluster (CC) ¨Møller-Plesset Perturbation Theory (MP) ¨Multi-Configuration Self-Consistent Field (MC-

SCF)

¨Density Functional Theory (DFT)

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Basics of Density Functional Theory

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Brief History of DFT

n 1926: Old DFT -- Thomas-Fermi theory and extensions. n 50’s-60’s: Slater and co-workers develop Xα as crude KS-LDA. n 1965: Modern DFT begins with Kohn-Sham equations. By

introducing orbitals, get 99% of the kinetic energy right, get accurate n(r), and only need to approximate a small contribution, EXC[n].

n 1965: KS also suggested local density approximation (LDA) and

gradient expansion approximation.

n 1993: More modern functionals (GGA’s and hybrids) shown to

be usefully accurate for thermochemistry

n 1995-: TDDFT & hybrid DFT methods n 1998: Kohn and Pople win Nobel prize in chemistry n 2000-: DFT with dispersion/long-range corrected DFT n 2010: DFT in materials science, geology, soil science,

astrophysics, protein folding,...

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Density Functional Theory for Pedestrians

Hohenberg-Kohn Theorem (1964)

( ) ( ) [ ] { } ( )

properties

  • ther

and ˆ , , E H R Z N r V r V

A A ext ext

Þ Y Þ Þ Þ = r r ! !

[ ] [ ] [ ] [ ] [ ] [ ] [ ] [ ] [ ]

r r r r r r r r r

xc Ne k ee Ne k

E J E T E E E T E + + + = + + =

  • r
  • 2. The variational principle for DFT

[ ] [ ]

r r E E ³

If we would know how to express each of those four terms 1.

[ ] ( ) ( ) [ ]

( )

å ò òò

=

  • =

=

M m m m Ne

r d R r r Z E r d r d r r r J

1 2 1 12 2 1

; 2 1 ! ! ! ! ! ! ! ! r r r r r

( ) ( ) ( )

ò

Y × Y =

N N N N N N

d d d r d r d r d r r r r r r r s s s s s s s s s r ! ! ! " ! " " ! " ! " " "

2 1 3 3 3 2 3 2 1 2 1 2 1 2 1 * 1

, , , , , ,

Therefore, instead of Y dependent on 4N coordinates we would need just r0 dependent on just 3 coordinates

Electron density function (much simpler object than wave function):

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Density Functional Theory for Pedestrians

Kohn-Sham formalism à represent ρ(r) using a fictitious non-interacting system, i.e. a single Slater determinant. This resolves the problem with the kinetic energy term (Kohn-Sham orbitals):

( ) ( ) ( ) ( )

å åò

= Ñ

  • =

N i N i i

r r dr r r T

2 2 * k

2 1 ! ! ! ! j r j j

[ ] [ ] [ ]

r r r

C X XC

E E E + =

The Hartree-Fock case:

( ) ( ) ( ) ( ) [ ]

; 2 1

C , 2 1 12 2 2 1 1 HF X

=

  • =

åòò

r j j j j E r d r d r r r r r E

j i j i j i

! ! ! ! ! !

The big unknown left is the exchange-correlation functional We know exact Exc exists but nobody knows its functional form à approximations!!

(X: exchange, C: correlation)

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Electron Correlations

n Dynamical correlation (captured by DFT):

interactions between energetically separated configurations

n Static correlation (not in DFT): mixing of

near-degenerate configurations à multiconfigurational character is necessary

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Calculations on a set of main-group molecules.

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  • The original DFT formulation is only for the

ground state à How to treat excited states?

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Popular combinations of Ex[r] and Ec[r]

  • SVWN=LSDA
  • SVWN5
  • BLYP

Hybrid functionals

  • B3LYP

( )

81 . ; 72 . ; 2 . 1

GGA LDA B88 x LDA HF hybr xc

= = = D + + D +

  • +

=

c x c c c x x x

a a a E a E E a E a E a E

  • B3P86, B3PW91, B1B95 (1 parameter), B1LYP, MPW1PW91, B98, B971,

B972, PBE1PBE etc.

  • You can even construct your own. Gaussian provides such a functionality:

Exc = P2EXHF + P1(P4EXSlater + P3ΔExnon-local) + P6EClocal + P5ΔECnon-local IOP(3/76),IOP(3/77) and IOP(3/78) setup P1 - P6 B3LYP = BLYP IOp(3/76=1000002000) IOp(3/77=0720008000) IOp(3/78=0810010000)

See: http://gaussian.com/dft/

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SLIDE 54

DFT references

1.

  • W. Koch, M.C. Holthausen, A Chemist’s Guide to Density Functional Theory

(Wiley-VCH Verlag GmbH, 2001)

2.

M.E. Casida in Recent Advances in Density Functional Methods, Part 1 (World Scientific, Singapore, 1995)

3.

M.E. Casida in Recent Developments and Applications of Modern Density Functional Theory, Theoretical and Computational Chemistry, vol 4., ed. by J.M. Seminario (Elsevier, Amsterdam, 1996).

4.

Marques M.A.L. and Gross E.K.U. Annu. Rev. Phys. Chem 55, 427 (2004).

55

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Applicability of DFT

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Peter Saalfrank (Universit ̈at Potsdam)

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Peter Saalfrank (Universit ̈at Potsdam)

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Conducting a Computational Project

n These questions should be answered ¨ What do you want to know? ¨ How accurate does the prediction need to be? ¨ How much time can be devoted to the problem? ¨ What approximations are being made? n The answers to these questions will determine the

type of calculation, method and basis set to be used è Model Chemistry

n If good energy is the goal à use extrapolation

procedures to achieve `chemical accuracy’: G1/2/3, W1/2/3, PCI-80… models

n DFT is always a good start for chemical systems

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SLIDE 66

Variety of Methods in Computational Chemistry

Quality Size dependence

n

Ab initio MO Methods

¨ CCSD(T)

quantitative (1~2 kcal/mol) but expensive ~N6

¨ MP2

semi-quantitative and doable ~N4

¨ HF

qualitative ~N2-3

n

Density Functional Theory

¨ DFT

semi-quantitative and cheap ~N2-3

n

Semi-empirical MO Methods

¨ AM1, PM3, MNDO

semi-qualitative ~N2-3

n

Molecular Mechanics Force Field

¨ MM3, Amber, Charmm semi-qualitative (no bond-breaking)

~N1-2

67

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SLIDE 67

n So far we have described theories that

allow us to obtain the ground state energy

  • f a molecular system --- at a fixed

molecular geometry

n How would this be useful?? n We will run some calculations next time!!