erin e. dahlke department of chemistry university of minnesota vlab tutorial may 25, 2006
DESCRIPTION
R OH = 0.9572Å. HOH = 104.52º. Computational Challenges in the Simulation of Water & Ice: the Motivation for an Improved Description of Water-Water Interactions. Erin E. Dahlke Department of Chemistry University of Minnesota VLab Tutorial May 25, 2006. R OH = 0.9572. HOH = 104.52 - PowerPoint PPT PresentationTRANSCRIPT
Computational Challenges in the Simulation of Water & Ice: the
Motivation for an Improved Description of Water-Water Interactions
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r (Å)
g(r)
g(r)O-Og(r)O-Hg(r)H-H
ROH = 0.9572Å
HOH = 104.52º
Erin E. Dahlke
Department of Chemistry
University of Minnesota
VLab Tutorial
May 25, 2006
ROH = 0.9572
HOH = 104.52
= 1.86D
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r (Å)
g(r)
g(r)O-O
g(r)O-H
g(r)H-H
ISIS Disordered Materials Group Neutron Database http://www.isis.rl.ac.uk/disordered/database/DBMain.htm
ROH = 0.9572
HOH = 104.52
= 1.86D
Umemoto, K.; Wentzcovich, R. M. Phys. Rev. B 2004, 69, 180103.
ROH = 0.9572
HOH = 104.52
= 1.86D
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Uranus Neptune
Triton
Titan
Ganymede Callisto
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http://www.solarviews.com/eng/uranus.htm
HOH = 104.52°= 2.18 D
= 0.6492 kJ/mol = 3.153 Å
ROH = 0.9572 Å
0.520.52
-1.04
TIP4P
Jorgensen, W. L.; Chandrasekhar, J.; Madura, J., D.; Impey, R. W.; Klein, M. L. J. Chem. Phys.1983, 79, 926.
Analytic potentials for water are generally parameterized to get a specific physical property right (i.e., vapor pressure, density, structural properties)
+ Fast+ Accurate*- Non-transferable
Variations of TIP4P1. TIP4P-FQ2. TIP4P-POL23. TIP4P-EW4. TIP4P-ice5. TIP4P-m
€
υ(r)⇒ −h2∇2
2m+ υ (r)
⎡
⎣ ⎢ ⎢
⎤
⎦ ⎥ ⎥Ψ(r) = EΨ(r)⇒ Ψ(r)⇒ observable properties
€
n(r)⇒ Ψ(r)⇒ υ (r)⇒ observable properties
Wave Function Theory:
Density Functional Theory:
€
HΨ(r) = EΨ(r)
€
H = T +V
Quantum Mechanics
Hohenberg, P.; Kohn, W. Phys. Rev. 1964, 136, B864.
Kuo, I.–F. W.; Mundy, C. J.; Eggimann, B. L.; McGrath, M. J.; Siepmann, J. I.; Chen, B.; Vieceli, J.; Tobias, D. J. J. Phys. Chem. B 2006, 110, 3738.McGrath, M. J.; Siepmann, J. I.; Kuo, I.–F. W.; Mundy, C. J.; VandeVondele, J.; Hutter, J.; Mohamed, F.; Krack, M. J. Phys. Chem. A 2006, 110, 640.Umemoto, K.; Wentzcovich, R. M. Phys. Rev. B 2004, 69, 180103
a
(Å)
c
(Å)
O-H
(Å)
O…H
(Å)
O-O
(Å)
O…O
(Å)
V
(Å3)
Calc 4.727 6.817 0.986 1.929 2.914 2.77 76.16
Expt 4.656 6.775 0.968 1.911 2.879 2.743 73.43
Ice VIII (T=10K P=24GPa)
Perdew, J. P.; Schmidt, K.; Density Functional Theory and Its Application to Materials, Doren,V., Alsenoy, C. V., Geerlings, P. Eds.; American Institute of Physics: New York 2001
LSDA
GGA
meta GGA
hybrid meta GGAhybrid GGA
fully non-local
‘Earth’ Hartree Theory
‘Heaven’Chemical Accuracy
QuantumChemistry
MaterialsScience
LSDA
GGA
meta GGA
hybrid meta GGAhybrid GGA
fully non-local
‘Earth’ Hartree Theory
‘Heaven’Chemical Accuracy
Perdew, J. P.; Schmidt, K.; Density Functional Theory and Its Application to Materials, Doren,V., Alsenoy, C. V., Geerlings, P. Eds.; American Institute of Physics: New York 2001
High-level wave function theory
Density functional theory
Coming up with a test set…
Literature clusters
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Solid-phase simulations
Calculate AccurateBinding Energies
Compare 25 DFTMethods to Accurate
Energies
Liquid/vaporsimulations
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0 0.5 1 1.5 2 2.5 3 3.5
SVWN5
mPWLYP
PBE
BLYP
PBELYP
HCTH
OLYP
TPSS
TPSSLYP
BB95
B98
B97-1
X3LYP
B3LYP
MPW1K
mPW1PW91
PBE1PBE
MPW3LYP
B97-2
PW6B95
MPWB1K
MPW1B95
PBE1KCIS
PWB6K
B1B95
Mean Unisgned Error per Molecule (kcal/mol)
LSDA
GGA
meta GGA
hybridGGA
hybridmetaGGA
light dimermedium trimerdark all
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B 2005, 109, 15677
All DFT calculations use the MG3S (6-311+G(2df,2p)) basis set.
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Exc = X100Ex
HF + (1− X100
)ExLDA + bΔEx
GGA + EcLSDA + Y
100ΔEc
GGA
€
Exc = Ex + EcLSDA + Y
100ΔEc
GGA
How should we parameterize our new method?The general form for a hybrid density functional method is:
What if instead…
mPWLYPPBEPBELYPTPSSLYP
Optimize Y mPWLYP1WPBE1WPBELYP1WTPSSLYP1W
0 0.5 1 1.5 2 2.5 3 3.5
SVWN5
mPWLYP
PBE
BLYP
PBELYP
HCTH
OLYP
PBE1W
MPWLYP1W
TPSSLYP1W
PBELYP1W
TPSS
TPSSLYP
BB95
B98
B97-1
X3LYP
B3LYP
MPW1K
mPW1PW91
PBE1PBE
MPW3LYP
B97-2
PW6B95
MPWB1K
MPW1B95
PBE1KCIS
PWB6K
B1B95
Mean Unsigned Error per Molecule (kcal/mol)
LSDA
GGA
meta GGA
hybridGGA
hybridmetaGGA
newmethods
light dimermedium trimerdark all
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B 2005, 109, 15677
All DFT calculations use the MG3S (6-311+G(2df,2p)) basis set.
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B 2005, 109, 15677All DFT calculations use the MG3S (6-311+G(2df,2p)) basis set.
LSDA
GGA
meta GGA
hybrid-meta GGAhybrid GGA
fully non-local
‘Earth’ Hartree Theory
‘Heaven’Chemical Accuracy
aMUEPM denotes mean unsigned error per molecule
Dimers Trimers AllPW6B95 0.06 0.06 0.06MPWB1K 0.06 0.08 0.07B98 0.05 0.11 0.06B3LYP 0.13 0.25 0.15TPSS 0.10 0.21 0.12TPSSLYP 0.21 0.44 0.26PBE1W 0.05 0.07 0.05MPWLYP1W 0.08 0.07 0.08TPSSLYP1W 0.09 0.07 0.09PBELYP1W 0.13 0.05 0.11mPWLYP 0.09 0.20 0.12PBE 0.22 0.27 0.23BLYP 0.41 0.59 0.45PBELYP 0.40 0.78 0.48SVWN5 1.99 3.22 2.26
MUEPMa (kcal/mol)
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0.60
0.80
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1.20
1.40
1.60
1.80
6-31+G(d,p) 6-31+G(d,2p)6-311+G(2d,2p)6-311+G(2df,2p)
aug-cc-pVDZ aug-cc-pVTZ
Mean Unsigned Error (kcal/mol)
BLYP
B3LYP
PBE1W
PBE
Csonka, G. I.; Ruzsinsky, A.; Perdew, J. P. J. Phys. Chem. B, 2006, 109, 21475.Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B 2005, 109, 15677Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B In Press.
0.40
0.60
0.80
1.00
1.20
1.40
6-31+G(d,p) 6-31+G(d,2p)6-311+G(2d,2p)6-311+G(2df,2p)
aug-cc-pVDZ aug-cc-pVTZ
Mean Unsigned Error (kcal/mol)
BLYP
MUEPM(kcal/mol)
Dimers Trimers All
PBE 0.22 0.27 0.23
BLYP 0.41 0.59 0.45
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mPWLYP
PBE B98B97-1X3LYPB3LYP
PW6B95MPWB1KMPW1B95
PBE1W
MPWLYP1WTPSSLYP1WPBELYP1W
Mean Unsigned Error (kcal/mol)
light = AE6dark = BH6
Is getting the energies right enough??
What about other things like geometries or polarizabilities?
R(O-H) Θ( - - )H O H
LSDA 0.9701 104.9605PBE 0.9690 104.2068
1PBE W 0.9686 104.2883BLYP 0.9706 104.5230
1PBE PBE 0.9575 104.90513B LYP 0.9604 105.1265
–Hartree Fock 0.9399 106.2709
ROH = 0.9572
HOH = 104.52
Fitting of the functional to get the best bond length possible gives reallybad energies for the clusters.
There’s no simple fix to this problem. Best geometry possible with this optimization procedure:R(O-H) = 0.9675 Å Θ(H-O-H) = 104.5008
One way to get a feeling for whether a method is getting the polarizability right is to look at the many-body effects in the structure.
€
V (r1,r2,...,rN ) = V2(ri ,rj )i< j
N∑ + V3(ri ,rj ,rk ) + ...+ Vn (ri ,rj ,rk ,...,rn )
i< j<k,...,n
N∑
i< j<k
N∑
€
V (r1,r2,r3,r4 ,r5) = V2(ri ,rj )i< j
5
∑ + V3(ri ,rj ,rk ) + V4 (ri ,rj ,rk ,rl ) +V5i< j<k<l
5
∑i< j<k
5
∑
€
V4 (rA,rB,rC,rD) =V (rA,rB,rC,rD) − V3(ri ,rj ,rk )i< j<k
4
∑ − V2(ri ,rj )i< j
4
∑
€
V3(rA,rB,rC ) =V (rA,rB,rC ) − V2(ri ,rj )i< j
3
∑
€
=V (rA,rB,rC ) −V2(rA,rB) −V2(rA,rC ) −V2(rB,rC )
Gas phase optimized
Monte Carlo simulation of bulk water
Monte Carlo simulation of bulk water
Gas phase optimized
MD simulation of ice VIII
What do we hope to learn?
1. Relative magnitudes of many-body terms in small clusters.
2. Differences in many-body terms between gas-phase structures and those taken from simulation.
3. Performance of common density functionals in the prediction of many-body effects.
4. Performance of density functionals is the prediction of binding energies for larger water clusters.
-1
0
1
2
3
4
5
6
V3 V4 V5
Magnitude (kcal/mol)
2.01
5.86
-0.460.14
0.53
-0.24 0.01
Average absolute magnitudeMax valueMinimum value
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B in press
Relative magnitudes of many-body terms
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Average Absolute Magnitude (kcal/mol)
2.01
2.74
1.18
0.140.31
0.07
All structuresGas phaseSimulation
PBE1WPBEBLYPB3LYP
New functional parameterized specifically for water
Most commonly used GGAs in simulation
Most commonly used hybrid GGA in chemistry, recently used in water simulation
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B in press
Gas-phase versus simulation
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PBE1W/MG3SPBE/MG3S BLYP/MG3S B3LYP/MG3S
PBE/aug-cc-pVTZBLYP/6-31G+(d,p)B3LYP/6-31+G(d,2p)
PBE1W/6-311+G(2d,2p)
Mean Unsigned Error (kcal/mol)
V2 (13.46)V3 (2.01)V4 & V5 (0.12)All (6.13)
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B in press
Performance of density functionals for many-body terms
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PBE1W/MG3SPBE/MG3S BLYP/MG3S B3LYP/MG3S
PBE1W/6-311+G(2d,2p)
PBE/aug-cc-pVTZBLYP/6-31G+(d,p)B3LYP/6-31+G(d,2p)
Mean Unsigned Error in Binding Energies (kcal/mol)
Trimers
Tet & Pent
All
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B in press
Performance of density functionals for binding energies
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PBE1W/MG3SPBE/MG3SBLYP/MG3SB3LYP/MG3S
PBE1W/6-311+G(2d,2p)
PBE/aug-cc-pVTZBLYP/6-31G+(d,p)B3LYP/6-31+G(d,2p)
Mean Unsigned Error in Binding Energies (kcal/mol)
Dimers
Trimers
Tet & Pent
All
Dahlke, E. E.; Truhlar, D. G. J. Phys. Chem. B in press
Performance of density functionals for binding energies - large data set
Conclusions• Different density functional methods give vastly different results for different functionals.
• PBE1W shows improved performance over other GGA methods for small water clusters-and is competitive with hybrid and hybrid-meta methods.
• Selection of basis set is crucial to performance.
• All GGAs have shortcomings at predicting many-body effects.
Future Work
• Use PBE1W in the simulation of liquid water.
• Examine the use of PBE1W for structural properties and larger water clusters
Method 1 2 3 4 5 6 7 8 9 10
CCSD(T) 0 1 2 1 2 3 2 3 1 2PBE 0 1 2 1 1 3 2 3 1 2PBE1PBE 0 1 2 1 1 3 2 3 1 2B3LYP 0 1 2 1 1 3 2 3 1 2BHandHLYP 0 1 2 1 2 3 2 3 1 2
Anderson, J. A.; Tchumper, G. S. J. Phys. Chem. A 2006, published on the web 05/12/06
Future Work
Acknowledgments
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Don TruhlarNate SchultzYan Zhao
Ilja Siepmann, Matt McGrath Renata Wentzcovitch, Koichiro Umemoto
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