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IntroductionIntroduction toto ComputationalComputational ChemistryChemistry
David Tur, PhD
Scientific Applications expert
1. Introduction
2. Molecular mechanics
3. Quantum chemistry methods
I. Wave function based methods
Hartree-Fock
Post-HF Methods
II. Semi-empirical methods
III. DFT
4. Basis sets
5. Computational chemistry methods in solid state6. Conclusions
IntroductionIntroduction toto ComputationalComputational ChemistryChemistry
IntroductionIntroduction
“Computational chemistry simulates chemical structures
and reactions numerically, based in full or in part on the fundamental laws of physics.”
– Foresman and Frisch
“The underlying physical laws necessary for the mathematical theory of a large part of physics and
the whole of chemistry are thus completely known,
and the difficulty is only that the exact application of
these laws leads to equations much too complicated
to be solvable.”– Paul Dirac
Theoretical Chemistry is defined as the mathematical description of chemistry. When these mathematical methods are sufficiently well developed to be automated and implemented on a computer, we can talk about Computational Chemistry.
IntroductionIntroduction
Very few aspects of chemistry can be computed exactly, but almost every aspect of chemistry has been described in a qualitative or approximate quantitative computational scheme.
The theoretical chemist must keep in mind that numbers obtained from theoretical calculations are not exact (they use many approximations), but they can offer an useful insight into real chemistry.
� Different models use different approximations (or levels of theory) to produce results of varying levels of accuracy.
� There is a trade off between accuracy and computational time.
IntroductionIntroduction
�There are two main types of models depending on the starting point of the theory:
Classical methods, are those methods that use Newton mechanics to model molecular systems.
Quantum Chemistry methods, which makes use of quantum mechanics to model the system. These methods use different type of approximation to solve the Schrödinger equation.
What can we predict with modern Theoretical Chemistry:
� Geometry of a molecule� Dipole moment� Energy of reaction� Reaction barrier height� Vibrational frequencies� IR spectra� NMR spectra� Reaction rate� Partition function� Free energy� Any physical observable of a small molecule
IntroductionIntroduction
Classical methods
Quantum methods
DFT
Wavefunction
based methods
Post-HF
Molecular MechanicsSemi-empirical
methods
LDA LSDA
GGA
hybrid-GGA meta-GGA
Hybrid-meta-GGA MP2
CoupledCluster
FCI
HF&MCSCF
MRCI
CASPT2
SR MR
IntroductionIntroduction
1. Introduction
2. Molecular mechanics
3. Quantum chemistry methods
I. Wave function based methods
Hartree-Fock
Post-HF Methods
II. Semi-empirical methods
III. DFT
4. Basis sets
5. Computational chemistry methods in solid state6. Conclusions
IntroductionIntroduction toto ComputationalComputational ChemistryChemistry
� Molecular Mechanics (MM) use the laws of classical physics to
predict structures and properties of molecules
� The motions of the nuclei are studied and the electrons are not
explicitly treated (Born-Oppenheimer approximation)
� Molecules are seen as a mechanical assemblies made up of simple
elements like balls (atoms), sticks (bonds) and flexible joints (bond
angles and torsion angles)
� MM treats molecules as a collection of particles held together by a
simple harmonic forces.
� These harmonic forces are described in terms of individual potential
functions.
� The overall molecular potential energy or steric energy of the molecule
is the sum of the potential functions of its constituents.
Molecular Molecular MechanicsMechanics
With this assumptions, the Mechanics equation can be simply written as:
E=EB+E
A+E
D+E
NB
where EB
is the energy involved in the deformation of a bond, either by
stretching or compression, EA
is the energy involved in angle bending, ED
is
the torsional angle energy, and ENB
is the energy involved in interactions
between atoms that are not directly bonded.
*Picture from the NIH site of Molecular modelinghttp://cmm.cit.nih.gov/modeling/
Molecular MechanicsMolecular Mechanics
� The exact functional form of the potential function of Force Field
depends on the program being used.
� Bond and angle terms are generally modeled as harmonic potentials
centered around equilibrium bond-length values (derived from exp. or
ab initio calculations). Morse potential is an alternative that results in
more accurate results of vibrational spectra but at higher computational
cost. The dihedral terms shows multiple minima and thus can not be
modeled as harmonic oscillators.
� The Non Bonded interactions are much more computationally costly to
calculate, and different approaches are used to model them. This term
is divided between short range interactions (VdW) usually modeled
using Lennard-Jones potential and long range or electrostatic
interactions, whose basic functional is the Coulomb potential.
Molecular MechanicsMolecular Mechanics
General form of the Molecular Mechanics equations:
Molecular MechanicsMolecular Mechanics
*Picture from the Wikipedia: Molecular Modelling
Molecular MechanicsMolecular Mechanics
Molecular Mechanics computations are quite inexpensive (compared to ab initio
methods), and they allow to be used to compute properties for very large
systems containing many thousands of atoms such as:
� Energy optimization (combined with simulated annealing, Metropolis, or
other MC methods)
� Calculation of binding constants
� Simulating of protein folding kinetics
� Examination of active site coordinates
� Design of binding sites
Molecular MechanicsMolecular Mechanics
However it carries two main limitations:
� Each force field achieves good results only for limited class of molecules
related to those for which it was parameterized.
� The neglecting of electrons means that MM methods can not treat chemical
problems where electronic effects are dominant (bond formations, bond
breaking…)
1. Introduction
2. Molecular mechanics
3. Quantum chemistry methods
I. Wave function based methods
Hartree-Fock
Post-HF Methods
II. Semi-empirical methods
III. DFT
4. Basis sets
5. Computational chemistry methods in solid state6. Conclusions
Introduction to Computational ChemistryIntroduction to Computational Chemistry
Classical methods
Quantum methods
DFT
Wavefunction
based methods
Post-HF
Molecular MechanicsSemi-empirical
methods
LDA LSDA
GGA
hybrid-GGA meta-GGA
Hybrid-meta-GGA MP2
CoupledCluster
FCI
HF&MCSCF
MRCI
CASPT2
SR MR
Quantum Chemistry MethodsQuantum Chemistry Methods
Where did ab initio methods finished in this scheme?
Ab initio is Latin for ‘from the beginning’, and indicates that the
calculation is from first principles and that no empirical data is used.
Are DFT ab initio methods?
Rigorously speaking DFT should be considered an ab initio method,
but as the most common functionals use parameters derived from
empirical data, or from more complex calculations, it has historically
been grouped apart from ab initio methods.
Quantum Chemistry MethodsQuantum Chemistry Methods
Here we will difference between wave function based methods and
Density functional Theory (within ab initio methods).
Quantum Chemistry is a branch of theoretical chemistry that applies Quantum
Mechanics in order to mathematically describe the fundamental properties
of atoms and molecules.
The complete knowledge of the chemical properties of the system implies
computing the wave function that describes the electronic structure of these
atoms and molecules.
In 1925 Erwin Schrödinger analyzed what an electron would look like as a
wavelike particle around the nucleus of the atom. From this model he
formulated his equation for particle waves, which is the starting point of the
quantum mechanical study of the properties of an atom or molecule:
where H is the Hamiltonian and Ψ is the wavefunction associated with the state
of the system.
Quantum Chemistry MethodsQuantum Chemistry Methods
i Ht
∧∂Ψ= Ψ
∂h
�The main problem now is the solution of the electronic Schrödinger
equation.
�These methods are based on theories which range from highly
accurate, but suitable only for small systems, to very approximate,
but suitable for very large systems.
�Quantum chemistry addresses the solution of this problem in different
ways, depending on the mathematical approaches used.
�The exact solution to this equation is not known (apart from
monoelectronic systems), numerical methods must be used to solve it.
Quantum Chemistry MethodsQuantum Chemistry Methods
The Schrödinger model is based on the six postulates of quantum mechanics:
1. Associated with any particle moving in a conservative force field is a wavefunction , which contains all information that can be known about the system.
2. For every observable in classical mechanics, a linear Hermitian operator is defined3. When measuring the observable associated with the operator A in , the only values
that will ever be observed are the eigenvalues a which satisfy 4. The average value of the observable corresponding to operator is given by:
5. The wavefunction evolves in time according to the time-dependent Schrödinger equation:
6. The total wavefunction must be antisymmetric with respect to the interchange of all coordinates of one fermion with those of another. The electronic spin must be included in this set of coordinates. The Pauli Exclusion Principle is a direct result of this antisymmetryprinciple.
Quantum Chemistry MethodsQuantum Chemistry Methods
( ),x tΨ
*
*
 drÂ
dr
Ψ Ψ=
Ψ Ψ
∫
∫
( ),H r t it
∧ ∂ΨΨ =
∂h
 aΨ = Ψ aΨ = Ψ
The most commonly used quantum chemistry methods are:
1.- Ab initio methods, where the solution of the Schrödinger equation
is obtained from first principles of quantum chemistry using rigorous
mathematical approximations, and without using empirical data.In the frame of
ab initio methods there are two strategies to solve equation:
� Wavefunction based methods, which are based on obtaining the
wavefunction of the system,
� Density functional based methods, that consist in the study of the
properties of the system through its electronic density, but avoiding
the explicit determination of the electronic wavefunction.
2.- Semi-empirical methods, which are less accurate methods that
use experimental results to avoid the solution of some terms that appear in
the ab initio methods.
Quantum Chemistry MethodsQuantum Chemistry Methods
�The first and most relevant ab initio method is the Hartree-Fock theory, which was first
introduced in 1927 by D.R. Hartree.
�The procedure, which he called self-consistent field (SCF), is used to calculate approximate wavefunctions and energies for atoms and ions.
�The HF method assumes that the exact, N-body wavefunction of the system can
be approximated by a single Slater determinant (fermions) or by a single permanent (bosons) of N spin-orbitals.
�The starting point for the HF method is a set of approximate one-electron wavefunction, (orbitals). For a molecular or crystalline calculation the initial approximate one-electron wavefunctions are typically a LCAO (linear combination of atomic orbitals)
�Using variational principle (HF upper bound to true ground state energy), we can
derive a set of N-coupled equations for the N spin orbitals. The minimization of the HF energy expression with respect to changes in the orbtials, by applying Langrange method of undetermined multiplieres, yields the HF equations defining the orbitals.
Wave function based methodsWave function based methods
( )1 2det , ... Nφ φ φΨ =
1-Wavefunction written as a single determinant
Brief mathematical exposition of HF theory:
2-The electronic Hamiltonian can be written as:
( ) ( ),eli i j
H h i v i j∧
<
= +∑ ∑
where h(i) and ν(i,j) are the one and two electrons operator defined as:
21( )
2
Ai
A iA
Zh i
r= − ∇ −∑ ( )
1,
ij
v i jr
=
elelE H∧
= Ψ Ψ
3-The electronic energy of the system is given by :
4-The resulting HF equations from minimization of the energy:
( ) ( ) ( )1 1 1i i if x x xχ ε χ∧
=
where εi is the energy value associated with orbital χi and f is defined as
( ) ( ) ( ) ( )1 1 1 1jj
j
f x h x J x K x∧ ∧ ∧ ∧
= + −∑
Wave function based methodsWave function based methods
Wave function based methodsWave function based methods
where Ji found in the second term of the equation is the so-called Coulomb term that gives the average local potential at point x due to the charge distribution from the electron in orbital χi and is defined as:
( ) ( ) ( ) ( )1 1 1 1jj
j
f x h x J x K x∧ ∧ ∧ ∧
= + −∑
( ) ( ) ( )( )
( ) ( ) ( )2
2
1 1 2 2 2 2 1
12 12
1j i i j j i
xJ x x x dx x x x
r r
χχ χ χ χ χ
∧
= =∫
( ) ( ) ( )( ) ( )
( ) ( ) ( )*
2 2
1 1 1 2 2 2 1
12 12
1j ij i j j i i
x xK x x x dx x x x
r r
χ χχ χ χ χ χ
∧
= =∫
and Ki third operator term of the equation, is the exchange operator that is defined as:
The Hartree-Fock equations can be solved numerically or in the space spanned by a set of basis functions (Hartree-Fock-Roothan equations) Some guess of the initial orbitals is required, and then theses orbitals are refined iteratively (self-consistent-field approach, SCF), finally obtaining the form and energy.
Wave function based methodsWave function based methods
Greatly simplified algorithmic flowchart illustrating the Hartree-Fock Method.
*Flowchart from Wikipedia: Hartree-Fock
The error in the determination of the total energy due to the use of the Hartree-Fock method is the so-called correlation energy:
corr o HFE E E= −
where E0 is the is the exact nonrelativistic energy of the system and EHF is the energy in the Hartree-Fock limit (this limit is obtained by carrying out HF
calculations using an infinite basis set).
There have been a large number of methods developed to improve the Hartree-Fock results, all accounting for the correlation energy in one way or another, the so-called Post-HF methods.
Wave function based methodsWave function based methods
Hartree-Fock method makes five major simplifications in order to deal with this
task:
� The Born-Oppenheimer approximation is inherently assumed. The full
molecular wavefunction is actually a function of the coordinates of each of the
nuclei, in addition to those of the electrons.
� Typically, relativistic effects are completely neglected. The momentum
operator is assumed to be completely non-relativistic.
� The variational solution is assumed to be a linear combination of a finite
number of basis functions, which are usually (but not always) chosen to be
orthogonal. The finite basis set is assumed to be approximately complete.
� Each energy eigenfunction is assumed to be describable by a single Slater
determinant, an antisymmetrized product of one-electron wavefunctions (i.e.,
orbitals).
� The mean field approximation is implied. Effects arising from deviations
from this assumption, known as electron correlation, are completely neglected.
Relaxation of the last two approximations give rise to many post-Hartree-Fock
methods.
Wave function based methodsWave function based methods
Quantum methods
Wavefunction
based methods
Post-HFMP2
CoupledCluster
FCI
HF&MCSCF
MRCI
CASPT2
SR MR
Single reference (SR) methods: use a single Slater determinant as a zero order wavefunction or
starting point to generate the excitation states used to describe the system.
Multireference methods (MR): where the systems
need to be described by more than one electronic configuration (e.g. for molecular ground states that are quasi-degenerate with low-lying excited states, or in bond-breaking situations)
While the HF wavefunction is uniquely defined by specifying the number of occupied orbitals in each symmetry, in the MCSCF (multi configurationalSCF) the electronic state of the system is approximated by a multi-configuration
wavefunction
Wave function based methodsWave function based methods
Single reference Post-HF methods:
Configuration Interaction (CI): a variational method that accounts for the correlation energy using a variational wavefunction, which is a linear combination of determinants or
configuration state functions built form spin orbitals (SO).
If the expansion includes all possible configurations of the appropriate symmetry, then this is a full configuration interaction (FCI) procedure which exactly solves the electronic Schrödinger equation within the space spanned by the one-particle basis set.In practice not all the unoccupied Hartree-Fock orbitals can be computed, The expansion in must be truncated, not considering any excitations above a given order. When the
expansion is truncated at the zeroth order, the Hartree-Fock method is recovered. At first order truncation the ‘Configuration Interaction with only Single excitations’ (CIS) is obtained, at second order ‘CI with Single and Double excitations’ (CISD), and so on: CISDT (third order), CISDTQ (fourth order), etc.
Wave function based methodsWave function based methods
Single reference Post-HF methods:
Møller-Plesset (MP): This is a perturbational method. Møller-Plesset perturbation theory adds electron correlation to the Hartree-Fock method by means of Rayleigh-Schrödinger perturbation theory (RSPT). In RS-PT one considers an unperturbed Hamiltonian operator H0 to which is added a small (often external) perturbation V:
where λ is an arbitrary real parameter. In MP theory the zeroth-order wave function is an exact eigenfunction of the Fock operator, which thus serves as the unperturbed operator. The
perturbation is the correlation potential.In RS-PT the perturbed wave function and perturbed energy are expressed as a power series in λ:
Substitution of these series into the time-independent Schrödinger equation gives a new equation:
Equating the factors of λk in this equation gives an kth-order perturbation equation.
Wave function based methodsWave function based methods
Single reference Post-HF methods:
Coupled Cluster (CC) theory: is another numerical technique used for describing many-body systems starting from HF molecular orbital and adding correcton terms to take into account electron correlation. The coupled cluster methodology employs an excitation operator T in a analogous form as C in CI theory that has the form:
operator used to construct the new molecular wavefunction starting from HF MO
used to find an approximate solution to the Schrödigner equation
After some farragous algebre, the correlatino energy is obtainded from the CC equations:
Depending on the highest number of excitations allowed in the definition of T we obtain different CC methods: CCSD, CC3, CCSD(T), CCSDTQ…
Wave function based methodsWave function based methods
FCIFCI/
STO-3G
FCI/
3-21G
FCI/
6-31G*
FCI/
6-311G(2df)EXACT
···
CCSD(T)CCSD(T)/
STO-3G
CCSD(T)/
3-21G
CCSD(T)/
6-31G*
CCSD(T)/
6-311G(2df)
CCSD(T)CBS
CCSDCCSD/
STO-3G
CCSD/
3-21G
CCSD/
6-31G*
CCSD/
6-311G(2df)
CCSDCBS
MP2MP2/
STO-3G
MP2/
3-21G
MP2/
6-31G*
MP2/
6-311G(2df)
MP2CBS
HFHF/
STO-3G
HF/
3-21G
HF/
6-31G*
HF/
6-311G(2df)
HF CBS
STO-3G 3-21G 6-31G* 6-311G(2df) ··· CBS
*Head-Gordon, J. Phys. Chem. Vol. 100, No, 31, 1996
Single reference Post-HF methods: Chart arranged in order of increasing
accuracy, when increasing the level of correlation, and the size of the basis sets.
Wave function based methodsWave function based methods
Multi-reference Post-HF methods:
The most commonly used MCSCF approach, which simplifies the selection of
configurations needed to construct a proper wavefunction, is the so-called
Complete Active Space Self Consistent Field method (CASSCF). In a CASSCF
wavefunction the occupied orbital space is divided into a set of inactive orbitals
and a set of active orbitals. All inactive orbitals are doubly occupied (closed
shell) in each Slater determinant. In contrast, the active orbitals have varying
occupations, and all possible Slater determinants are taken into account
distributing electrons in all possible ways among the active orbitals
corresponding to a full CI in the active space.
Starting from MCSCF, are obtained MRCI methods (analogous to CI using HF),
or CASPT2 (analogous to MP2 for SR methods).
Wave function based methodsWave function based methods
� Semi-empirical quantum methods, represents a middle road between the
mostly qualitative results available from molecular mechanics and the high
computationally demanding quantitative results from ab initio methods
� Semi-emipirical methods attempt to address two limitations of the Hartree-
Fock calculations, such as slow speed and low accuracy, by omitting or
parameterizing certain integrals
� Integral approximation: there are three principal levels of integral
approximations:
• Complete Neglect of Differential overlap (CNDO)
• Intermediate Neglect of Differential Overlap (INDO)
• Neglect of Diatomic Differential Overlap (NDDO) (Used by PM3, AM1…)
� the integrals at a given level of approximation are either determined directly
from experimental data or calculated from corresponding analytical formula with ab
initio methods or from suitable parametric expressions.
SemiSemi--empirical Methodsempirical Methods
Semi-empirical methods are very fast, give accurate results when applied to
molecules that are similar to those used for parametization, and are applicable
to very large molecular systems
� Density functional theory (DFT): is an alternative approach to study the electronic
structure of many-body systems that over the past 10-20 years has strongly influenced the evolution of Quantum Chemistry. � DFT expresses the ground state energy of the system in terms of total one-electron density rather than making use of the wavefunction.
� The DFT formalism has the same starting point as the wavefunction based methods, that is the Born-Oppenheimer approximation where the nuclei of the treated molecules are seen as fixed, coupled with an extenal potential , Vext, where the electrons are moving. � The Hamiltonian can now be rewritten as
( ) ( )2
0 0 0 0 1 2 3
2
, , , ,N
i Ni
r dr r r r rρ ρ∧
=
= Ψ Ψ = Ψ∏∫ K
�In the DFT approach, the key variable is the particle density, and for this Hamiltonian, the ground state gives rise to a ground state electronic density ρ0(r) defined as:
extH F V∧ ∧ ∧
= +
where F is the sum of the kinetic energy of the electrons, and the electron-electron Coulomb interaction
Thus the ground state wavefuntion and density ρ0(r), are both functionals of the external potential and the number of electrons and N.
Density Functional TheoryDensity Functional Theory
� Starting from here Hohenberg-Kohn (HK) made two remarkable statements that are the basis of the modern employed DFT methods:
Theorem 1: The external potential Vext, and hence the total energy, is a unique functional of the electron density ρ(r)
Theorem 2: The groundstate energy can be obtained variationally: the density that minimises the total energy is the exact groundstate density.
� Appling these theorems, and after some more farragoes mathematics, the form of the
Schrödinger equation is:
( ')( ) ' ( ) ( )
'KS XC ext
rV r dr V r V r
r r
ρ= + +
−∫
21( ) ( ) ( )
2KS i i iV r r rψ ε ψ
− ∇ + =
where the Khon-Sham potential, VKS, has the
Since the Kohn-Sham potential VKS(r) depends upon the density, it is necessary to solve these equations self-consistently as in the Hartree-Fock scheme
Density Functional TheoryDensity Functional Theory
There are many different ways to approximate this functional VXC,
and to do this EXC is generally divided into two separate terms:
[ ] [ ] [ ]XC X CE E Eρ ρ ρ= +
where EX is the exchange (int. e- same spin) term and EC the correlation
(int. e- opposite spin) term.
It is important to note that although Kohn-Sham is an exact method
in principle, because of the unknown exchange-correlation
functional VXC it turns out to be approximate.
FINDING THE APPROPIATE FUNCTIONAL: From LDA (local density
approximation), to modern meta-hybrid-GGA (Generalized Gradient
approximation)
Density Functional TheoryDensity Functional Theory
The development of GGA functionals has followed two main lines, the
non-empirical and the semi-empirical approach. The typical non-empirical
approach, favored in physics, is to construct a functional subject to several
exact constraints. This strategy can be viewed as a ladder with five rungs,
from the Hartree theory (the earth) to the exact exchange and correlation
functional (heaven), as follows:
EARTH (Hartree theory)
local density onlyLDArung 1
explicit dependence on density gradientsGGAsrung 2
explicit dependence on kinetic energy densitymeta-GGAsrung 3
explicit dependence on occupied orbitalshybrid functionalsrung 4
explicit dependence on unoccupied orbitalsfully nonlocalrung 5
HEAVEN (chemical accuracy)
Although “Jacob’s ladder” is historically presented as the starting point for
the formulation of the non-empirical approaches, both semi-empirical and
non-empirical functionals can be assigned to various rungs of the “ladder”.
Density Functional TheoryDensity Functional Theory
1. Introduction
2. Molecular mechanics
3. Quantum chemistry methods
I. Wave function based methods
Hartree-Fock
Post-HF Methods
II. Semi-empirical methods
III. DFT
4. Basis sets
5. Computational chemistry methods in solid state6. Conclusions
IntroductionIntroduction toto ComputationalComputational ChemistryChemistry
� In Mathematics: a basis set is a collection of vectors that spans a vectorial space where a numerical problem is solved.
� In quantum chemistry: the wavefunctions are the mathematical description of where an electron or group of electrons are, and basis sets represent the wavefunction that allow the Schrödinger equation via any of the methods previously explained
Types of basis functions:� Slater type basis set (STO): a set of functions which decayed exponentially with distance
from the nuclei.
� Gaussian type basis sets (GTO): STO are approximated as linear combination of gaussian type orbitals.
GTO have the advantage over STO in that it is much easier to calculate integrals analytically, and thus are huge computational savings, but the exponential dependence on r2
means that in contrast to STO, the maximum at the nucleus is not in fact well described
( ) ( )1
, , , ,, , ,STO n rn l m l mr Nr e Yξ
ξφ θ ϕ θ ϕ− −=
( ) ( )2(2 1)
, , , ,, , ,GTO n n rn l m l mr Nr e Yξ
ξφ θ ϕ θ ϕ− − −=
Basis setsBasis sets
There are two main families of basis set used in modern computational chemistry calculations:
� Pople family of basis set: “X-Y’Y’’…(+)G(p)”
where Ys indicates the number of Gaussians that compose the valence orbitals, and the Y itself represents the number of linear combinations of primitive Gaussians that compose each Gaussians. The number of polarized functions added is given by the p in brackets after the G, and these basis set can also be improved by adding diffuse
functions for non-hydrogen atoms (+) or also for hydrogen (++). e.g.: 3-21G, 6-31G(d), 6-311+G(d,p)…
� Correlation consistent basis set: “cc-pVXZ”
where X indicated the number of basis functions composing the valence orbitals(X=D,T,Q… are double, triple or quadruple zeta respectively). Difuse functions introduced with aug- prefixe.g.: cc-pVDZ, aug-cc-pVQZ…
Basis setsBasis sets
1. Introduction
2. Molecular mechanics
3. Quantum chemistry methods
I. Wave function based methods
Hartree-Fock
Post-HF Methods
II. Semi-empirical methods
III. DFT
4. Basis sets
5. Computational chemistry methods in solid state6. Conclusions
IntroductionIntroduction toto ComputationalComputational ChemistryChemistry
Computational chemistry methods in solid stateComputational chemistry methods in solid state
Computational chemistry methods in solid state follow the same approach as they do for molecule but can introduce two different approaches:
� Translation symmetry:
The electronic structure of a crystal is in general described by a band structure, which defines the energies of electron orbitals for each point in the Brillouin zone. Ab initio and semi-empirical calculations yield orbital energies, therefore they can be applied to band structure calculations.
� Plane waves basis set:
Completely delocalized basis functions as an alternative to the molecular atom-centered basis functions. Common choice for prediction properties in crystals
1. Introduction
2. Molecular mechanics
3. Quantum chemistry methods
I. Wave function based methods
Hartree-Fock
Post-HF Methods
II. Semi-empirical methods
III. DFT
4. Basis sets
5. Computational chemistry methods in solid state6. Conclusions
IntroductionIntroduction toto ComputationalComputational ChemistryChemistry
� small systems
� systems involving
electronic transitions
�molecules or systems
without available
experimental data ("new" chemistry)
� systems requiring
rigorous accuracy
�computationally
expensive
� useful for a broad
range of systems
� does not depend on
experimental data
� capable of calculating
transition states and excited states
�uses quantum
physics
� mathematically
rigorous, no empirical
parameters
�uses approximation extensively
Ab Initio
�medium-sized systems (hundreds of atoms)
�systems involving
electronic transitions
� requires
experimental data (or data from ab
initio) for parameters
�less rigorous than
ab initio) methods
� less demanding
computationally than abinitio methods
� capable of calculating
transition states and
excited states
� uses quantum
physics and experimentally derived
empirical parameters
� uses approximation
extensively
Semi-Empirical
�large systems
(thousands of atoms)
�systems or processes
with no breaking or forming
of bonds
�particular force
field applicable only
for a limited class of
molecules
�does not calculate electronic properties
�requires
experimental data
(or data from ab
initio) for parameters
� Computationally least
intensive - fast and
useful with limited
computer resources
� can be used for molecules as large as
enzymes
� uses classical
physics
�relies on force-field
with embedded
empirical parameters
Molecular Mechanics
Best for Disadvantages Advantages Method Type
ConclusionsConclusions
7.7.-- ConclusionsConclusions
50-200 atoms (50-300)M2-M3HF, KS-DFT
25-50 atoms (50-150)M5MP2
10-15 atoms (100)M6CCSD
8-12 atoms (20-50)M7CCSD(T)
2 atoms (15)FactorialFCI
Current estimate of maximum feasible
molecular size
Current
computational
dependence on
molecular size, M
Method
*Head-Gordon, J. Phys. Chem. Vol. 100, No, 31, 1996
‘Current scalings of electronic structure methods with molecular size, M and estimates of the
maximum molecular sizes (in terms of numbers of first-row non-hydrogen atoms) or which energy and gradient evaluations can be tackled by each method at
present’*
In blue (in brackets) actualization of this estimations to 2009 computational available resources.
These results must be taken into account due to the dependence of the calculation with the size of the basis set used.
ConclusionsConclusions
� Overall, the main conclusion that emerges from this talk is that it is possible to simulate different
properties of interest for chemists (biologists, pharmaceutics, physics…) applying computational chemistry, with reasonable cost and saving much experimental time in the laboratory.
� The key point is to select which is the best method to be used depending on the computational resources available and the desired accuracy.
Thank you for your attention!!!
QUESTIONS????
David Tur, PhD
Scientific Applications expert
Introduction to Computational ChemistryIntroduction to Computational Chemistry