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Bridging the gap: G aussian A pproximation P otential Albert Bartók-Pártay ESDG 2009
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Page 1: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

Bridging the gap:

Gaussian Approximation Potential

Albert Bartók-Pártay

ESDG 2009

Page 2: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

Gábor Csányi

Risi Kondor

ESDG 2009

Bridging the GAP

Albert Bartok-Partay

Page 3: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● from QM to interatomic potentials● potential based directly on detailed QM data● high dimensional fit (Gaussian Processes)● atomic neighbourhoods: bispectrum● the first GAP for carbon● other uses: defining the local energy

Bridging the GAP

Albert Bartok-Partay ESDG 2009

Outline

Page 4: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● quantum mechanics is the 'ultimate truth'● expensive to solve● sequence of approximations:

● Full CI● QMC● DFT-LDA● tight binding

● interatomic potentials

Bridging the GAP

Albert Bartok-Partay ESDG 2009

From QM...

Page 5: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● energy is sum of atomic energies● atomic energy depends on neighbouring atoms● electronic problem is not solved

● cluster expansion of total energy

● EAM expansion

Bridging the GAP

Albert Bartok-Partay ESDG 2009

...to interatomic potentials

Page 6: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● How is an interatomic potential generated?

● empirical, analytic formula

● choose target properties (even forces)

● fit free parameters to reproduce properties

● hope that the formula remains reasonably valid everywhere in the configurational space

● The GAP way:● no fixed formula

● search in the space of smooth functions

● identify target configurations

● fit to arbitrary precision QM data

● extend target set if needed

Bridging the GAP

Albert Bartok-Partay ESDG 2009

Generating potentials

Page 7: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● energy is sum of atomic energies

● is not practical

● matrix is complete but not invariant to permutations

● symmetric polynomials are also complete but not invariant to rotation

● : all terms, chosen the rotationally invariant ones● our solution

● atomic energy is a functional of atomic density● express atomic density in rotationally invariant terms

GAP

Albert Bartok-Partay ESDG 2009

GAPBridging the GAP

Page 8: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● how to choose the target configurations?

● an optimal way to interpolate many-dimensional functions

● magic trick: finding which fitting points are optimal for reproducing a very large data set

● calculate accurate forces and energies (DFT)

● perform fit using sum of derivatives of (forces) and sum of (energy) as the target function

Albert Bartok-Partay ESDG 2009

GAP: function fittingBridging the GAP

Page 9: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● Two examples:

● 1D periodic function ● 2D object

● 1D:

● 2D: project on the Riemann-sphere then express it in spherical harmonics basis:

Albert Bartok-Partay ESDG 2009

Invariant representationsBridging the GAP

Page 10: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● Power spectrum:● 1D:

● 2D: ● incomplete representation, phase information lost

Albert Bartok-Partay ESDG 2009

Invariant representationsBridging the GAP

Page 11: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● Bispectrum (almost complete):● 1D:

● 2D:

Albert Bartok-Partay ESDG 2009

Invariant representationsBridging the GAP

Page 12: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● project on a 4D sphere

● and are the same as the 3D polar coordinates

● express in 4D spherical harmonics basis: the Wigner D-matrices

● bispectrum is analogous to 3D case

● 4D CG-coefficients are direct products of 3D CG-coefficients

Albert Bartok-Partay ESDG 2009

Invariant representations:3D objects

Bridging the GAP

Page 13: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

target function: sin xfit points between 3 and 7random noise on fit pointsexpectation value and variance predicted

Albert Bartok-Partay ESDG 2009

GP: a simple interpolationBridging the GAP

Page 14: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● Hot MD of interesting systems● surfaces● interstitial● vacancy● quenched liquid

● energies and forces of configuration samples with DFT

Albert Bartok-Partay ESDG 2009

Target configurationsBridging the GAP

Page 15: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● GP gives 0 as an answer when unsure

● add core repulsion to correct for very close atoms● EAM formula● fitted to high pressure DFT

results

● add dispersion term for long-range interactions

Albert Bartok-Partay ESDG 2009

'Baseline' potentialBridging the GAP

Page 16: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● target configurations● bulk phases● transition from diamond to graphite● 111 and 100 surfaces● vacancy● interstitial● amorphous carbon

Albert Bartok-Partay ESDG 2009

GAP for carbonBridging the GAP

Page 17: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● force correlation DFT vs (REBO, GAP)

● = 0.26 eV/A

● 100 teaching points● 2.5 A cutoff

Albert Bartok-Partay ESDG 2009

GAP testBridging the GAP

Page 18: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● diamond to graphite transition along arbitrary reaction coordinate

● energy from DFT, REBO and GAP

Albert Bartok-Partay ESDG 2009

GAP testBridging the GAP

Page 19: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● how to obtain local energy from DFT● surface energy● visualisation

● best fit potential: use local energy● equivalent to chemical potential of an atom

● replacing atoms to infinity

Albert Bartok-Partay ESDG 2009

Defining local energiesBridging the GAP

Page 20: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● restricted part of configurational space● use force and energy information only along a

minimisation from 'gas' phase or● blow up a configuration

● use it as post-processing tool● visualise 'hot' atoms

Albert Bartok-Partay ESDG 2009

Approximate local energiesBridging the GAP

Page 21: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● interpolation in high-dimensional space via GP● target is quantum mechanical data● extendable method● carbon potential that captures sp2-sp3

transition● new approach in defining local energies

Albert Bartok-Partay ESDG 2009

SummaryBridging the GAP

Page 22: Bridging the gapfrom QM to interatomic potentials potential based directly on detailed QM data high dimensional fit (Gaussian Processes) atomic neighbourhoods: bispectrum the first

● more than one atom type:

● electrostatics: subtract Coulomb energy

Bridging the GAP

ESDG 2009

Albert Bartok-Partay ESDG 2009

Bridging the GAP


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