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Module-3 Ab Initio Molecular Dynamics April 01 & April 06
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Page 1: Lecture April1 April6

Module-3

Ab Initio Molecular Dynamics

April 01 & April 06

Page 2: Lecture April1 April6

Ab Initio MD: Born-Oppenheimer MD

HBOMD({RI}, {PI}) =NX

I=1

P2I

2MI+ Etot({RI})

=NX

I=1

P2I

2MI+

min{ }

nD

({ri}, {RI})�

Hel

({ri}, {RI})Eo

+NX

J>I

ZIZJ

RIJ

Page 3: Lecture April1 April6

rRI

D |Hel| |

E=DrRI |Hel| |

E+D |rRI Hel| |

E+D |Hel|rRI |

E

6=D |rRI Hel| |

E

Basis set should be large enough! Convergence of wave function and energy conservation:

Time step (fs)

Convergence (a.u.)

conservation (a.u./ps)

CPU time (s) for 1 ps

trajectory

0.25 10-6 10-6 16590

1 10-6 10-6 4130

2 10-6 6 x 10-6 2250

2 10-4 1 x 10-3 1060

Page 4: Lecture April1 April6

Concerns:Wavefunction optimisation at every MD step is time consuming!

Note: wfn has to be well converged.

Page 5: Lecture April1 April6

Car-Parrinello MD

Page 6: Lecture April1 April6

Basic Idea:

Timescale separation: Electronic part is fastNuclear part is slow

Classical mechanical adiabatic energy-scale separation

making 2 classical subsystems that are adiabatically energy-

scale separated.

1. nuclear coordinates2. orbital coefficients

Page 7: Lecture April1 April6

Lagrangian: LCP =

X

I

1

2

MI˙R2I +

X

i

µi

D˙ i| ˙ i

E

�D 0

��� ˆHel

��� 0

E+ constraints

is the molecular orbital (spatial)

0 is the Slater det.

µ is the fictitious mass for orbitals

i =X

c⌫i�⌫

Note: LCP ⌘ LCP(RN , RN , n, n)

Page 8: Lecture April1 April6

d

dt

@L@RI

=@L@RI

Equations of motion can be computed as

LCP ⌘ LCP(RN , RN , n, n)

d

dt

�L�D i

���=

�L� h i|

µi¨ i = � �

� h i|D 0

��� ˆHel

��� 0

E+

� h i| (constraints)

FI = � @

@RI

D 0

��� ˆHel

��� 0

E+

@

@RI(constraints)

Page 9: Lecture April1 April6

Within the KS theory constraints are due to orthonormality of orbitals:X

i

X

j

⇤ij (h�i|�ji � �ij)

Page 10: Lecture April1 April6

Nuclear temperature(physical temperature): T /

X

I

MIR2I

Fictitious temperature: T orb. /X

i

µi

D�i|�i

E

No energy transfer between physical system and the orbital (quasi-adiabatic separation of dynamics)

Orbitals should move close to the corresponding Born-Oppenheimer solutions: Torb has to be small enough

(close to zero K ⇒“cold electrons”)

Energy transfer from “hot nuclei” to “cold electrons” should be strictly avoided during the dynamics

Page 11: Lecture April1 April6

No overlap in the vibrational density of states(orbital motion has to be much above 4000 cm-1)

Thus motion can be kept adiabatically separable!

Energy is well conserved (no noise due to

SCF procedure!)

Page 12: Lecture April1 April6

Thus, motion about the actual BO surfaceHigh freq. oscillations are not relevant in the timescale of the nuclear dynamics: thus not

only averages, but also time-dependent properties can also be computed

Page 13: Lecture April1 April6

Time step should be small (to sample high freq. motion of orbital degrees of freedom):

usually about 0.06-0.12 fs

(Very small) Fictitious mass should be appropriately chosen (400-700 au)

Energy conservation can be checked to verify the accuracy of dynamics.

Page 14: Lecture April1 April6
Page 15: Lecture April1 April6

CP/5 a.u. /—

CP/10 a.u. /—

BO/10 a.u. /10-6

BO/100 a.u. /10-6

BO/100 a.u. /10-5

BO/100 a.u. /10-4

Page 16: Lecture April1 April6

• Computationally efficient• Better energy conserving

• Not truly an BO MD; dynamics could get affected if parameters are not chosen

properly.• Small tilmestep (~1/10 smaller)

• Adiabatic separation doesn’t work in some cases (zero band gap)

• Better wfn extrapolation algorithms are available today; thus wfns can be

converged fast, and BOMD can be made computationally efficient!