MBPT vs (TD)DFT - a fight or a wedding
Transcription
MBPT vs (TD)DFT - a fight or a wedding
MBPT vs (TD)DFT a fight or a wedding ? Francesco Sottile Laboratoire des Solides Irradiés Ecole Polytechnique, Palaiseau - France European Theoretical Spectroscopy Facility (ETSF) Lyon, 14 December 2007 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A rough Summary DFT - TDDFT √ fast (one-particle eqs) × lack of functionals MBPT (GW-BSE) √ it works! (physical ingredients) × Cumbersome Fast, efficient and reliable MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A rough Summary DFT - TDDFT √ fast (one-particle eqs) × lack of functionals MBPT (GW-BSE) √ it works! (physical ingredients) × Cumbersome Fast, efficient and reliable MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A rough Summary DFT - TDDFT √ fast (one-particle eqs) × lack of functionals MBPT (GW-BSE) √ it works! (physical ingredients) × Cumbersome Fast, efficient and reliable MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Combine the two approaches MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G d h G = G0 + G0 (Σ − Vxc ) G i 0 = G0 (Σ − Vxc ) G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G d h G = G0 + G0 (Σ − Vxc ) G i 0 = G0 (Σ − Vxc ) G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G d h G = G0 + G0 (Σ − Vxc ) G i 0 = G0 (Σ − Vxc ) G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 given a Σ (non-local and dynamic), we obtain a Vxc (local and static) which provides the same density Sham-Schlüter equation L.J.Sham and M.Schlter, Phys. Rev. Lett. 51, 1888 (1983) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 given a Σ (non-local and dynamic), we obtain a Vxc (local and static) which provides the same density Sham-Schlüter equation L.J.Sham and M.Schlter, Phys. Rev. Lett. 51, 1888 (1983) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 given a Σ (non-local and dynamic), we obtain a Vxc (local and static) which provides the same density Sham-Schlüter equation L.J.Sham and M.Schlter, Phys. Rev. Lett. 51, 1888 (1983) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Dyson eq. for G Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 given a Σ (non-local and dynamic), we obtain a Vxc (local and static) which provides the same density Sham-Schlüter equation L.J.Sham and M.Schlter, Phys. Rev. Lett. 51, 1888 (1983) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Sham-Schlüter equation Z Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 d(23)G0 (12) Σx (23) − Vxc (2)δ(23) G0 (31) = 0 we obtain VxcEXX = G0 G0 vG0 (χ0 )−1 Exact-Exchange Approximation MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Sham-Schlüter equation Z Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 d(23)G0 (12) Σx (23) − Vxc (2)δ(23) G0 (31) = 0 we obtain VxcEXX = G0 G0 vG0 (χ0 )−1 Exact-Exchange Approximation MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Sham-Schlüter equation Z Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 d(23)G0 (12) Σx (23) − Vxc (2)δ(23) G0 (31) = 0 we obtain VxcEXX = G0 G0 vG0 (χ0 )−1 Exact-Exchange Approximation MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Sham-Schlüter equation Z Z d(23)G0 (12) Σ(23) − Vxc (2)δ(23) G (31) = 0 d(23)G0 (12) Σx (23) − Vxc (2)δ(23) G0 (31) = 0 we obtain VxcEXX = G0 G0 vG0 (χ0 )−1 Exact-Exchange Approximation MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Generalized SSE p h G = G0 + G0 (Σ − Vxc ) G i M.Gatti et al, Phys. Rev. Lett. 99, 057401 (2007) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives A possible strategy Generalized SSE p h G = G0 + G0 (Σ − Vxc ) G i M.Gatti et al, Phys. Rev. Lett. 99, 057401 (2007) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Optical Absorption Spectra of Solids Semiconductors: Silicon MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Optical Absorption Spectra of Solids Insulators: Argon MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Optical Absorption Spectra of Solids ALDA bad for any solids!! though quick BSE good but cumbersome MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Optical Absorption Spectra of Solids The problem of Abs in solids. Towards a better understanding Reining et al. Phys.Rev.Lett. 88, 66404 (2002) Long-range kernel de Boeij et al. J.Chem.Phys. 115, 1995 (2002) Polarization density functional. Long-range. Kim and Görling Phys.Rev.Lett. 89, 96402 (2002) Exact-exchange Sottile et al. Phys.Rev.B 68, 205112 (2003) Long-range and contact exciton. Botti et al. Phys. Rev. B 72, 125203 (2005) Dynamic long-range component Parameters to fit to experiments. MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Optical Absorption Spectra of Solids The problem of Abs in solids. Towards a better understanding Reining et al. Phys.Rev.Lett. 88, 66404 (2002) Long-range kernel de Boeij et al. J.Chem.Phys. 115, 1995 (2002) Polarization density functional. Long-range. Kim and Görling Phys.Rev.Lett. 89, 96402 (2002) Exact-exchange Sottile et al. Phys.Rev.B 68, 205112 (2003) Long-range and contact exciton. Botti et al. Phys. Rev. B 72, 125203 (2005) Dynamic long-range component Parameters to fit to experiments. MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Beyond ALDA approximation Abs in solids. Insights from MBPT Parameter-free Ab initio kernels Sottile et al. Phys.Rev.Lett. 91, 56402 (2003) Full many-body kernel. Mapping Theory. Marini et al. Phys.Rev.Lett. 91, 256402 (2003) Full many-body kernel. Perturbation Theory. −1 fxc = χ−1 0 GGWGG χ0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory The idea BSE works ⇒ MBPT vs (TD)DFT we get the ingredients of the BSE and we put them in TDDFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian h 4-point 0 0 0 BSE v c v c H(vc)(v (Ec − Ev ) δvv 0 δcc 0 + vvc − Wvc 0c 0) = MBPT vs (TD)DFT i 0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian h H BSE = (Ec − Ev ) + v − W MBPT vs (TD)DFT 4-point i Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian 4-point h i GW H BSE = c + ∆GW − − ∆ + v − W v c v MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian 4-point h i GW H BSE = c + ∆GW − − ∆ + v − W v c v TDDFT: Polarizability equation 2-point χ = χ0 + χ0 (v + fxc ) χ MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian 4-point h i GW H BSE = c + ∆GW − − ∆ + v − W v c v TDDFT: written in transition space h H TDDFT = (c − v ) + v + fxc MBPT vs (TD)DFT 4-point i Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian 4-point h i GW H BSE = c + ∆GW − − ∆ + v − W v c v TDDFT: written in transition space h H TDDFT = (c − v ) + v + fxc 4-point i The exchange-correlation kernel fxc has to take into account both GW corrections and excitonic effects !! MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian h H BSE = (Ec − Ev ) + v − W 4-point i TDDFT: written in transition space h H TDDFT = (Ec − Ev ) + v + fxc 4-point i Same starting point for both BSE and TDDFT: the GW band-structure. MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian h H BSE = (Ec − Ev ) + v − W 4-point i TDDFT: written in transition space h H TDDFT = (Ec − Ev ) + v + fxc 4-point i We concentrate, then, only on the excitonic effects. MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory BSE: Excitonic Hamiltonian h H BSE = (Ec − Ev ) + v − W 4-point i TDDFT: written in transition space h H TDDFT = (Ec − Ev ) + v − W 4-point i We substitute the ‘unknown’ fxc with W . MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory The idea We want to use W , but in a 2-point equation. χ(12, ω) = χ0 (12, ω) + χ0 (13, ω) (v (34) + fxc (34, ω)) χ(42, ω) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory The idea We want to use W , but in a 2-point equation. χ(12, ω) = χ0 (12, ω) + χ0 (13, ω) (v (34) + fxc (34, ω)) χ(42, ω) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = χ0 + χ0 (v + fxc ) χ χ = (1 − χ0 v − χ0 fxc )−1 χ0 Let’s define an invertible matrix X (12, ω) = P vc φv (1)φc (1)gvc (2, ω) χ = XX −1 1 − χ0 v − χ0 X −1 X fxc −1 χ0 −1 χ0 χ = X X − χ0 v X − χ0 X −1 X fxc X χ = X X − χ0 vX − χ0 X −1 T MBPT vs (TD)DFT −1 χ0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = χ0 + χ0 (v + fxc ) χ χ = (1 − χ0 v − χ0 fxc )−1 χ0 Let’s define an invertible matrix X (12, ω) = P vc φv (1)φc (1)gvc (2, ω) χ = XX −1 1 − χ0 v − χ0 X −1 X fxc −1 χ0 −1 χ0 χ = X X − χ0 v X − χ0 X −1 X fxc X χ = X X − χ0 vX − χ0 X −1 T MBPT vs (TD)DFT −1 χ0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = χ0 + χ0 (v + fxc ) χ χ = (1 − χ0 v − χ0 fxc )−1 χ0 Let’s define an invertible matrix X (12, ω) = P vc φv (1)φc (1)gvc (2, ω) χ = XX −1 1 − χ0 v − χ0 X −1 X fxc −1 χ0 −1 χ0 χ = X X − χ0 v X − χ0 X −1 X fxc X χ = X X − χ0 vX − χ0 X −1 T MBPT vs (TD)DFT −1 χ0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = χ0 + χ0 (v + fxc ) χ χ = (1 − χ0 v − χ0 fxc )−1 χ0 Let’s define an invertible matrix X (12, ω) = P vc φv (1)φc (1)gvc (2, ω) χ = XX −1 1 − χ0 v − χ0 X −1 X fxc −1 χ0 −1 χ0 χ = X X − χ0 v X − χ0 X −1 X fxc X χ = X X − χ0 vX − χ0 X −1 T MBPT vs (TD)DFT −1 χ0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = χ0 + χ0 (v + fxc ) χ χ = (1 − χ0 v − χ0 fxc )−1 χ0 Let’s define an invertible matrix X (12, ω) = P vc φv (1)φc (1)gvc (2, ω) χ = XX −1 1 − χ0 v − χ0 X −1 X fxc −1 χ0 −1 χ0 χ = X X − χ0 v X − χ0 X −1 X fxc X χ = X X − χ0 vX − χ0 X −1 T MBPT vs (TD)DFT −1 χ0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = χ0 + χ0 (v + fxc ) χ χ = (1 − χ0 v − χ0 fxc )−1 χ0 Let’s define an invertible matrix X (12, ω) = P vc φv (1)φc (1)gvc (2, ω) χ = XX −1 1 − χ0 v − χ0 X −1 X fxc −1 χ0 −1 χ0 χ = X X − χ0 v X − χ0 X −1 X fxc X χ = X X − χ0 vX − χ0 X −1 T MBPT vs (TD)DFT −1 χ0 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = XZ d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = XZ d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = XZ d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = XZ d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = X Z d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc v 0c 0 T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = X Z d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc v 0c 0 T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = X Z d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc v 0c 0 T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory χ = X X − χ0 vX − χ0 X −1 T −1 χ0 T (12, ω) = X (13, ω)fxc (34, ω)X (42, ω) = X Z d(34)gvc (1, ω)φv (3)φc (3)fxc (34, ω)φv 0 (4)φc 0 (4)gv 0 c 0 (2, ω) vc v 0c 0 T (12, ω) = X gvc (1, ω) fxc gv 0 c 0 (2, ω) vc v 0c 0 TBSE (12, ω) = X gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory TDDFT 2-point equation containing W χ = X X − χ0 vX − χ0 X −1 T TBSE (12, ω) = X −1 χ0 gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 X (12, ω) = X φv (1)φc (1)gvc (2, ω) vc What about the application ?? MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory TDDFT 2-point equation containing W χ = X X − χ0 vX − χ0 X −1 T TBSE (12, ω) = X −1 χ0 gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 X (12, ω) = X φv (1)φc (1)gvc (2, ω) vc What about the application ?? MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory TDDFT 2-point equation containing W χ = X X − χ0 vX − χ0 X −1 T TBSE (12, ω) = X −1 χ0 gvc (1, ω) W gv 0 c 0 (2, ω) vc v 0c 0 X (12, ω) = X φv (1)φc (1)gvc (2, ω) vc What about the application ?? MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Absorption of Silicon 60 Exp. RPA ALDA 50 40 30 20 10 0 MBPT vs (TD)DFT 3 4 ω (eV) 5 6 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Absorption of Silicon 60 Exp. RPA ALDA BSE 50 40 30 20 10 0 MBPT vs (TD)DFT 3 4 ω (eV) 5 6 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Absorption of Silicon 60 Exp. RPA ALDA BSE MT kernel 50 40 30 20 10 0 3 4 ω (eV) 5 6 F.Sottile et al. Phys.Rev.Lett 91, 56402 (2003) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Absorption of Silicon Carbide and Diamond 20 20 BSE MT BSE MT 15 15 10 10 5 5 0 10 5 eV 0 5 10 15 20 eV last week preliminary results :-) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Absorption of Argon exp ALDA BSE -v0 Im {χ00} 15 10 5 0 10 MBPT vs (TD)DFT 12 ω (eV) 14 Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Absorption of Argon exp ALDA BSE Ab initio kernel -v0 Im {χ00} 15 10 5 0 10 12 ω (eV) 14 F.Sottile, M.Marsili et al., PRB(R) 76, 161103 (2007) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives The Mapping Theory: Results Tested also on absorption of SiO2 , DNA bases, Ge-nanowires, RAS of diamond surface, and EELS of LiF. Marini et al. Phys.Rev.Lett. 91, 256402 (2003). Bruno et al. Phys.Rev.B 72 153310, (2005). Palummo et al. Phys.Rev.Lett. 94 087404 (2005). Varsano et al. J.Phys.Chem.B 110 7129 (2006). MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Outline 1 Introduction 2 BSE and TDDFT up to 2002 3 The Mapping Theory Kernel Theory Results 4 Conclusions and Perspectives MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Conclusions TDDFT is the method of choice √ √ √ √ Absorption spectra of simple molecules Electron energy loss spectra Inelastic X-ray scattering spectroscopy Absorption of Solids (BSE-like scaling) MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Conclusions DFT-MBPT Functionals [ρ] Extensions of TDDFT ⇒ Mapping Theory ⇒ Meta-GGA ⇒ TD-CDFT ⇒ OEP (EXX, etc.) ⇒ Orbital dependency ⇒ Deformation Theory Today challenges ⇒ Open shells systems ⇒ Charge transfer excitations ⇒ Efficient calculations of Solids MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Conclusions DFT-MBPT Functionals [ρ] Extensions of TDDFT ⇒ Mapping Theory ⇒ Meta-GGA ⇒ TD-CDFT ⇒ OEP (EXX, etc.) ⇒ Orbital dependency ⇒ Deformation Theory Today challenges ⇒ Open shells systems ⇒ Charge transfer excitations ⇒ Efficient calculations of Solids MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Conclusions DFT-MBPT Functionals [ρ] Extensions of TDDFT ⇒ Mapping Theory ⇒ Meta-GGA ⇒ TD-CDFT ⇒ OEP (EXX, etc.) ⇒ Orbital dependency ⇒ Deformation Theory Today challenges ⇒ Open shells systems ⇒ Charge transfer excitations ⇒ Efficient calculations of Solids MBPT vs (TD)DFT Francesco Sottile Introduction BSE and TDDFT up to 2002 The Mapping Theory Kernel Conclusions and Perspectives Conclusions DFT-MBPT Functionals [ρ] Extensions of TDDFT ⇒ Mapping Theory ⇒ Meta-GGA ⇒ TD-CDFT ⇒ OEP (EXX, etc.) ⇒ Orbital dependency ⇒ Deformation Theory Today challenges ⇒ Open shells systems ⇒ Charge transfer excitations ⇒ Efficient calculations of Solids MBPT vs (TD)DFT Francesco Sottile