new approaches for ab initio calculations of molecules ... · à soc in general not a perturbation...
TRANSCRIPT
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Stefan KnechtETH Zürich, Laboratorium für Physikalische Chemie, Schweiz
www.reiher.ethz.ch/the-group/people/[email protected]
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New Approaches for ab initio Calculations of Molecules with Strong Electron Correlation
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… summarized in our most recent review on this topic:
http://arxiv.org/abs/1512.09267… to appear soon in Chimia
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▪ Prof. Johannes Neugebauer (U Münster)
▪ Thomas Dresselhaus (U Münster)▪ Prof. Hans Jørgen Aa. Jensen
(SDU Odense)▪ Prof. Jochen Autschbach
(U at Buffalo)
Acknowledgment
ETH Zürich§ Prof. Markus Reiher§ Sebastian Keller§ Christopher Stein§ Dr. Yingjin Ma§ Andrea Muolo§ Stefano Battaglia§ Dr. Erik Hedegaard§ Dr. Arseny Kovyrshin
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§ Understanding the spectroscopy and small-molecule activation (CO, CO2, N2, …) by U-complexes
§ Rationalizing the magnetic properties of f-element complexes
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What we are aiming for
S. C. Bart et al., JACS, 130, 12356 (2008)
I. Castro-Rodriguez and K. Meyer, Chem. Commun. 13, 1353 (2006) EPR activeEPR inactive
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§ Relativity (spin-orbit coupling) and electron correlation à to be treated on equal footingà SOC in general not a perturbation for f-elements
§ Large number of open- and near-degenerate electronic shells (like in f-elements or 3d-metals) requireà multiconfigurational methodsà large active spaces
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General remarks
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What about DFT?
à DFT is likely to fail for 3d- and f-element complexesà little progress for 3d-complexes albeit intense research in past decadesà not much is known for f-elements à difficult to find a systematic improvability for DFT
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Wave function heaven: systematic improvability
“FCI heaven”
© original figure by T. Fleig
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§ Instead of standard CI-type calculations by diagonalization/projection …
§ … construct CI coefficients from correlations among orbitals
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From traditional to new wave function parametrizations
à tensor construction of expansion coefficients:DMRG
| i =P
i1,i2...iN
Ci1,i2...iN |i1i ⌦ |i2i ⌦ · · ·⌦ |iN i
| i =P
i1,i2...iN
Ci1,i2...iN |i1i ⌦ |i2i ⌦ · · ·⌦ |iN i
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QCMAQUISFirst 2nd generation quantum-
chemical DMRG code
ü MPS/MPO formalismü Convergence acceleration techniquesü Works with 1-,2-,4-component
Hamiltoniansü Parallelized: MPI/OMPü Interfaces: Molcas, Dalton, Dirac,
Bagel
DMRG-SCF: orbital optimization
DMRG + dynamical correlation
DMRG + environment effects
Analytic gradients for DMRG Spin-orbit coupling/relativity
State-interaction: SOC, NACE, …
FDE-DMRGT. Dresselhaus et al., JCP, 142, 044111 (2015)
S. Battaglia, S. Keller, S. Knecht, A. Muolo, M. Reiher, in preparation
DMRG-srDFTE. Hedegård et al, JCP, 142, 224108 (2015)
NEVPT2: S. Knecht, S. Keller, C. Angeli, M. Reiher, in progress
CASPT2: S. Knecht, S. F. Keller, T. Shiozaki, M. Reiher, in progress
state-specific: Y. Ma, S. Knecht, M. Reiher, in preparation
state-average: Y. Ma, S. Knecht, S. Keller, R. Lindh, M. Reiher, in preparation
10S. Knecht, S. Keller, J. Autschbach,M. Reiher, in preparation
2nd order: Y. Ma, S. Knecht, S. Keller, M. Reiher, in preparation
QCMaquisS. Keller et al, JCP, 143, 244118 (2015)S. Keller and M. Reiher, JCP, 144, 134101(2016)www.reiher.ethz.ch/software/maquis.html
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Matrix product states (MPS) representation:SVD of FCI tensor
matrix
matrix product
rank-3 tensor
aiai-1
σi/ni physical index
virtual index
FCI tensor representation
MPS representation
singular value decompositionM(m x n) = U(m x m) s(m x n) V(n x n)*
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Matrix product states (MPS) representation:SVD of FCI tensor
FCI tensor representation
MPS representation
singular value decompositionM(m x n) = U(m x m) s(m x n) V(n x n)*
| FCIi =P{nk}
Cn1n2...nL |n1n2 . . . nLi
| FCIi =P
{nk}{aj}An1
1,a1An2
a1,a2. . . AnL�1
aL�2,aL�1AnLaL�1,1 |n1n2 . . . nLi
à optimization and reduction of dimensionality to of A matrices
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§ Search for which minimizes
§ Introduce Lagrangian multiplier λ and solve
§ by optimizing the entries of (two sites combined) at a time while keeping all others fixed
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MPS optimization: DMRG
… …active subsystem environmentactive orbitals
nl nl+1
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§ To minimize L we take
§ Find lowest eigenvalue + eigenvector of the effective H
which can be written as14
MPS optimization: DMRG
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§ Perform SVD of v reshaped into = U S V+
§ Truncate sum of singular values to the largest m values (ßà eigenvalues of reduced density matrix)
§ Reshape U into § Multiply S with V+ and reshape into§ Move on to sites l+1 and l+2 until end of lattice is reached;
then inverse direction 15
MPS optimization: DMRG
… …active subsystem environmentactive orbitals
nl nl+1
Anl+1al,al+1
Anlal�1,al
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§ DMRG algorithm: protocol for the iterative improvement of the A matrices
§ Scaling determined by the number of renormalizedbasis states m
§ Orbital ordering is crucial but can be optimized§ Sum of discarded singular values can be used as a
quality measure and/or for extrapolation of energies § Start guess for environment is important, recipes:
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MPS optimization: DMRG - summaryS. Keller and M. Reiher, Chimia, 68, 200-203 (2014)
Ö. Legeza and J. Solyom, Phys. Rev. B, 68, 195116 (2003)Y. Ma, S. Keller, C. Stein, S. Knecht, R. Lindh, M. Reiher, in preparation
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DMRG§ Variational§ Size consistent§ (approximate) FCI for a CAS§ Polynomial scaling (~L4 m3)§ MPS wave function§ For large m invariant wrt orbital
rotations
CASCI§ Variational§ Size consistent§ FCI for a CAS§ Factorial scaling§ Linearly parametrized wave
function§ Invariant wrt orbital rotations
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Properties of DMRG
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§ 1-component Hamiltonian§ Spin is a good quantum number§ real algebra§ Local site dimension d == 4
§ 2-/4-component Hamiltonian§ Spin is not a good quantum numberà (Kramers) pairs of spinors:
§ Quaternion symmetry scheme for D2h* and sub-double groups:Real, complex or quaternion algebra
§ Local site dimension d == 2
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non-relativistic DMRG ßà relativistic DMRG
{ p, ̄p}, ̄p = K̂ p, K̂ = �i⌃yK̂0
and
S. Knecht, Ö. Legeza, and M. Reiher, J. Chem. Phys., 140, 041101 (2014)S. Battaglia, S. Keller, S. Knecht, A. Muolo, M. Reiher, in preparation
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§ MPS representation of wave function
§ MPO representation of Hamiltonian
§ Full support for linear symmetry, D2h* and sub-double groups exploiting an operator string classification (ΔMk)
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A 2nd generation relativistic QC-DMRG codeS. Battaglia, S. Keller, S. Knecht, A. Muolo, M. Reiher, in preparation
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QCMAQUISFirst 2nd generation quantum-
chemical DMRG code
ü MPS/MPO formalismü Convergence acceleration techniquesü Works with 1-,2-,4-component
Hamiltoniansü Parallelized: MPI/OMPü Interfaces: Molcas, Dalton, Dirac,
Bagel
DMRG-SCF: orbital optimization
DMRG + dynamical correlation
DMRG + environment effects
Analytic gradients for DMRG Spin-orbit coupling/relativity
State-interaction: SOC, NACE, …
FDE-DMRGT. Dresselhaus et al., JCP, 142, 044111 (2015)
S. Battaglia, S. Keller, S. Knecht, A. Muolo, M. Reiher, in preparation
DMRG-srDFTE. Hedegård et al, JCP, 142, 224108 (2015)
NEVPT2: S. Knecht, S. Keller, C. Angeli, M. Reiher, in progress
CASPT2: S. Knecht, S. F. Keller, T. Shiozaki, M. Reiher, in progress
state-specific: Y. Ma, S. Knecht, M. Reiher, in preparation
state-average: Y. Ma, S. Knecht, S. Keller, R. Lindh, M. Reiher, in preparation
20S. Knecht, S. Keller, J. Autschbach,M. Reiher, in preparation
2nd order: Y. Ma, S. Knecht, S. Keller, M. Reiher, in preparation
QCMaquisS. Keller et al, JCP, 143, 244118 (2015)S. Keller and M. Reiher, JCP, 144, 134101(2016)www.reiher.ethz.ch/software/maquis.html
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QC-DMRG at work..
Applications of relativistic DMRG
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§ Comparison with relativistic CI and CC methods§ 4-component Dirac-Coulomb Hamiltonian§ MO integrals through interface to Dirac§ Dyall.cv3z basis set§ Active space: all MP2 NOs with occupations between
1.98 and 0.0001 à DMRG-CI with a CAS(14,94)
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Relativistic DMRG with variational SOC: spectroscopic constants of TlH
S. Knecht, Ö. Legeza, and M. Reiher, J. Chem. Phys., 140, 041101 (2014)S. Battaglia, S. Keller, S. Knecht, A. Muolo, M. Reiher, in preparation
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Spectroscopic constants of TlH
Method Re (Å) we (cm-1) xewe (cm-1)4c-DMRG[512]-CI(extrapolated)
1.873 1411 27
4c-CISD 1.856 1462 234c-CISDTQ 1.871 1405 204c-CCSD 1.871 1405 194c-CCSD(T) 1.873 1400 244c-CCSDT 1.873 1398 224c-CCSDTQ 1.873 1397 22experiment1 1.872 1390.7 22.7
1R.-D. Urban et al., Chem. Phys. Lett., 158, 443 (1989)
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§ Lanthanide complexes are ubiquitous as contrast agents in magnetic resonance imaging (signal enhancing)
§ Symmetrized [Dy]-DOTA complex (C4*-double group)§ Study convergence of (approximate) spin and
magnetization density wrt the active orbital space:from CAS(9in7) to CAS(47,57)
§ cc-pVTZ basis sets§ All-electron X2C Hamiltonian
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Relativistic DMRG with variational SOC:Spin and magnetic properties of a [Dy]-complex
S. Battaglia, S. Keller, S. Knecht, A. Muolo, M. Reiher, in preparation
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§ Study magnetic properties of a prototypical 5f1 molecule § Comparison with CASSCF/CASPT2-SO reference data§ MPS-state-interaction approach (à “RASSI” in CI world)ANO-RCC-VTZ basis set, no symmetry, Cholesky decomposition for two-electron integrals, m = 256 for all DMRG-SCF calculations
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Relativistic DMRG with two-step SOC:Magnetic properties of neptunyl
S. Knecht, S. Keller, J. Autschbach, M. Reiher, in preparation
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QC-DMRG at work..
Going beyond DMRG(-SCF): dynamical electron correlation
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§ DMRG(-SCF) is an efficient approach to take into account static correlation effects
§ Dynamical correlation is missing to a large extent§ Requires excitations from the inactive/active to the
active/secondary orbital space
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DMRG(-SCF) + dynamical correlation
secondary space
inactive space
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§ DMRG can in principle be combined with any post-HF approach (“diagonalize-the-perturb” ansatz):§ (Internally-contracted) multi-reference CI§ Multi-reference CC§ Multi-reference perturbation theory to 2nd order (MRPT2):
CASPT2, NEVPT2, …àCASSCF/CASPT2 is one of the most successful and versatile approaches in quantum chemistry (landmark CASPT2 paper has more than 1200 citations!)
§ Conceptually different approach: short-range DFT-long-range DMRG
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Going beyond DMRG-SCF:dynamical electron correlation
E. D. Hedegård, S. Knecht, J. S. Kielberg, H. J. Aa. Jensen, M. Reiher, J. Chem. Phys., 142, 224108 (2015)
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CASPT2- H(0):Fock-type zeroth-order
Hamiltonian+ Size-extensive+ Multi-state formulation possible- Prone to intruder states- Requires 3-particle (and partial
4-particle) reduced density matrix within the active orbital space
NEVPT2+ H(0): Dyall Hamiltonian
(full HCAS-CI for active orbitals, Fock-type for core/secondary orbitals)
+ Size-extensive+ No intruder-state problem+ Multi-state formulation possible- Requires 4-particle reduced
density matrix within the active orbital space
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Dynamical correlation through MRPT2: CASPT2 or NEVPT2?
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§ 3-particle (transition) and 4-particle reduced density matrices (RDMs) need to be calculated accurately
§ Compressed MPS wave function for RDM calculation
§ Cumulant approximation of higher–order n-RDMs à loss of N-representability of the n-RDM (possible)!
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Higher-order n-particle reduced density matrices
S. Guo, M. A. Watson, W. Hu, Q. Sun, G. K.-L. Chan, J. Chem. Theory Comput., doi:10.1021/acs.jctc.5b01225
Y. Kurashige, J. Chalupsky, T. N. Lan, T. Yanai, J. Chem. Phys. 141, 174111 (2014)
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§ CH2 (bent C2v structure): X3B1 - a1A1 splitting is a benchmark test for correlation methods
§ cc-pVTZ basis, m=1024 for all DMRG-SCF calculations
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Singlet-triplet gap of methyleneS. Knecht, E. D. Hedegaard, S. Keller, A. Kovyrshin, Y. Ma, A. Muolo, C. Stein, M. Reiher, arXiv: 1512.09267
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QC-DMRG at work..
DMRG in DFT-embedding
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§ frozen density embedding (FDE) scheme is used with a freeze-and-thaw strategy for a self-consistent polarization of the orbital-optimized wave function and the environmental densities
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DMRG embedded in a quantum environment:DMRG in DFT-embedding
…
active subsystem
environment
T. Dresselhaus, J. Neugebauer, S. Knecht, S. Keller, Y. Ma, M. Reiher, J. Chem. Phys., 142, 044111 (2015)
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DMRG embedded in a quantum environment:DMRG in DFT-embedding
T. Dresselhaus, J. Neugebauer, S. Knecht, S. Keller, Y. Ma, M. Reiher, J. Chem. Phys., 142, 044111 (2015)
chain of HCN molecules
active subsystem
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QC-DMRG at work..
State-specific DMRG(-SCF) gradients
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§ Resonance Raman (RR) spectroscopy is a selective spectroscopic techniqueà resonance conditions act like a filter such that only certain peaks are selectively enhanced in the vibrational spectrum
§ Benchmark data for RR spectrum of uracil of the bright excited state (S2) in gas phase available
§ RR in the short-time approximation requires only knowledge about the excited-state gradient at the minimum structure
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State-specific DMRG(-SCF) gradients:resonance Raman spectra of uracil
Y. Ma, S. Knecht, M. Reiher, in preparation
J. Neugebauer and B. A. Hess, JCP, 120, 11564 (2004)
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§ Within the short-time approximation the relative intensity ijfor the j-th mode is given by
: harmonic vibrational frequency: normal mode displacement
§ Independent mode displaced harmonic oscillator model:obtain intensity from partial derivative of the excited-state electronic energy wrt normal mode qj at qj=0:
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State-specific DMRG(-SCF) gradients:resonance Raman spectra of uracil
Y. Ma, S. Knecht, M. Reiher, in preparation
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§ Comparison of DMRG-SCFRR spectra with other ab initio approachesaug-cc-pVTZ basis, m=1000 in all DMRG calculations
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State-specific DMRG(-SCF) gradients:resonance Raman spectra of uracil C5-C6 C4-O10
be(C5-H11)/be(C6-H12)
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§ Rydberg-type orbitals play a non-negligible role for the intensities in the RR spectrum
§ Unbalanced treatment of static and dynamical correlation can lead to unphysical intensities
§ Entanglement analysis of S2:considerable σ bonding and valence π/π∗ orbital entanglement
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State-specific DMRG(-SCF) gradients:resonance Raman spectra of uracil C5-C6 C4-O10
be(C5-H11)/be(C6-H12)
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Outlook
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QCMAQUISFirst 2nd generation quantum-
chemical DMRG code
ü MPS/MPO formalismü Convergence acceleration techniquesü Works with 1-,2-,4-component
Hamiltoniansü Parallelized: MPI/OMPü Interfaces: Molcas, Dalton, Dirac,
Bagel
DMRG-SCF: orbital optimization
DMRG + dynamical correlation
DMRG + environment effects
Analytic gradients for DMRG Spin-orbit coupling/relativity
State-interaction: SOC, NACE, …
QCMaquisS. Keller et al, JCP, 143, 244118 (2015)S. Keller and M. Reiher, JCP, 144, 134101(2016)www.reiher.ethz.ch/software/maquis.html
SOET, … ensemble DFT
see talk by B. Senjean see talk by M. Alam
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Thank you for your kind attention