Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a...

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Some (important) problems in Quantum Chemistry Ulf Ekström Theoretical Chemistry Vrije Universiteit Amsterdam Wenner–Gren postdoc January 26, 2010

Transcript of Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a...

Page 1: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

Some (important) problems in QuantumChemistry

Ulf EkströmTheoretical Chemistry

Vrije Universiteit AmsterdamWenner–Gren postdoc

January 26, 2010

Page 2: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:
Page 3: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

What is Quantum Chemistry?

Apply quantum theory to problems in chemistry (Schrödinger,Slater, Löwdin ...)É Optical properties of molecules (spectroscopy)É What is a chemical bond?É Determine molecular structure (optimization)É Chemical reaction mechanisms and ratesÉ Dynamical properties of electrons and atoms

Page 4: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

Structure determination

+

-

--

+

+

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Electron dynamics and Photochemistry

Photosystem II:

How can photosynthesis be so efficient? Quantum energytransport. 105 atoms..

Page 6: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

What do we know?

É We know the relevant laws of physics, very very well (toowell). Schrödinger equation with Hamiltonian

H =∑

k

−∇2

2mk+∑

i 6=k

qiqk

rik

É We can easily solve the problem for one particle:

HΨ=

−∇2

2m+ V (r)

Ψ= EΨ

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Problem One

Space and Time

101-105 particlesTimes 10−15-10−12 s

1023 particlesTimes 10−3− 106 s

Brute force is impossible. We need clever connections betweenmicro and macro.

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Problem Two

Electron Correlation

É Quantum N-body problemÉ Quantum calms down chaos, butÉ Wave function complexity N N

Ψ=Ψ(r1, r2, . . . rN )

É Nevertheless, chemistry is full of concepts: Atoms, bonds,functional groups

É Suggests approximate theories!É (Counter-example: Spin glasses)

Page 9: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

Density Functional Theory (DFT)

É Kohn and {Hohenberg,Sham}: “Ψ(r1, r2, . . .) is too much”É Observable properties come from the electron density ρ(r)!É Proof that E = E[ρ], but no closed form.

WFT DFTVariable Ψ(r1, r2, . . . rN ) ρ(r)Energy Trivial Complicated Unknown

(kernel trick?)Formal Scaling N N NPractical Scaling N6–N8 N2–N3

Nr atoms 1− 20 100− 1000

Approximate DFT consumes a majority of Swedish supercomputertime!

Page 10: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

Density Functional Theory in practice

DFT Energy:

EDFT = EKinetic+ EElectrostatic+

R3

εX C(ρ(r))dV

Only approximate εX C(ρ) are known.

Leads to a one particle eigenvalue problem

HKSψi =

−∇2

2m+ V (r)

ψi = Eiψi

Reduction from O (N N ) to O (N)! But εX C is very difficult to workwith.

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Introducing a Basis

To solve

HKSψi =

−∇2

2m+ V (r)

ψi = Eiψi

don’t discretize in real space! Use a problem specific basis!

Atom centered Gaussian Type Orbitals.

Page 12: Some (important) problems in Quantum ChemistryNr atoms 1 20 100 1000 Approximate DFT consumes a majority of Swedish supercomputer time! Density Functional Theory in practice DFT Energy:

Generating functions

We can generate a basis

with derivatives!

ϕn(r) =∂ n

∂ Rn e−α(r−R)2

Perfect for AD! Here e−α(r−R)2 is the Generating Function.

Generating functions are very powerful for combinatorics (look itup)