Dear Imad,

                    would you please send me a .pdf of your article ([EMAIL 
PROTECTED])? Regarding Van del Waals. It has been demonstrated that LDA can 
reasonable reproduce pi stacking, which is dominated by dispersion 
interactions. You may check Zhao and Truhlar´s articles. LDA is among the best 
functionals for stacking and some Van der waals interactions.
 
Y. Zhao, D.G. Truhlar J. Chem. and Theory. Comput. 3 (2006) 289.



I have recently submited an article about stacking. If you compare the benzene 
dimer results at the levels: MP2/CBS resutls and LDA against CCSD(T)/CBS, you 
will find that LDA is far better than MP2. MP2 seriously overestimates 
stacking. Just an example (in kcal/mol):



                                                   BBPD

LDA                                              2.6

CCSD(T)/CBS                               2.73

MP2/CBS                                      5.03                         



So I would not try to reproduce MP2 results, but CCSD(T)/CBS. 





Regards,



                       pablo



  ----- Original Message ----- 
  From: Belabbas Imad 
  To: [email protected] 
  Sent: Friday, July 27, 2007 6:20 PM
  Subject: [SIESTA-L] RE : Re: [SIESTA-L] stacking


  Dear Denis,

  Let me coment a bit your last message. I am not really aware about the 
specific system that you are treating. However, as far as I have understood 
from the massage, you are treating a system involving aromatic molecules. Note 
that the source of you problem is related to the shortcoming of XC-functionals 
used in DFT to describe Van Der Waals interactions !!. And I guess, even if you 
move to a PW code you will run with similar problems !!?????. What you need is 
a correction of DFT to improve its description of these Van Der Waals 
interactions. 
  A very interesting approach proposed by a group at EPFL (PRB. 75, 205131 
(2007)), consists of making corrections at the pseudopotential level to 
reproduce MP2 or CC calculations !!! these pseudopots are designed for CPMD 
!!!, One can try to convert their format to that supported by SIESTA and try 
them !!!!!!!

  Best wishes,
  Imad

   

  "Pablo A. Denis" <[EMAIL PROTECTED]> a écrit :
    Dear Oleksandr,

    Thank you very much for your answer. I have been playing a little with the 
    basis sets. The problem was basis set. BSSE optimization is important, but 
    only for the default DZP. The interaction energies without BSSE are 
    atractive by 10-18 kcal/mol, very huge as usual for siesta.

    BBS BBPD 
    BBT BB2Hover

    deault DZP -3.2 (0.3 bsseopt) -1.34 
    2.7 3.25

    DZPshort -1.4 0.54 
    3.35

    DZPlong 0.5 2.35 
    3.2 3.6

    target values 1 2.6 
    3.1 3.3

    negative = repulsion

    BBS and BBPD are parallel aromatics wheras BB2Hover and BBT not. So the 
    problem is to find a basis set that describe the stacking and not overbind 
    the other complexes that have hydrogens over the pi clouds. Even with the 
    DZP Long the interaction between the parallel aromatics is not well 
    described. Tournus employed DZP+3s on carbon and DZ on H. The reported good 
    values for BBS and BBPD but no result is available for BBT. I will keep 
    working or maybe I will change to plane wave, the problem is that pw takes 
    more resources...

    Thank you very much for you help.

    Regards,

    pablo

    P.S. below there is a full .fdf for BSSE maybe the cause of everything is a 
    mistake...

    # FDF file for bb

    # General System descriptors

    SystemName bb # Descriptive name of the system
    SystemLabel bb # Short name for naming files

    NumberOfAtoms 24 # Number of atoms
    NumberOfSpecies 4 # Number of species

    %block Chemical_Species_Label
    1 6 C
    2 1 H
    3 -6 C_G
    4 -1 H_G
    %endblock Chemical_Species_Label

    %block PAO.Basis
    C 3 0.01
    n=2 0 2 E 69.86 4.68
    6.004 4.195
    1.000 1.000
    n=2 1 2 E 18.95 3.78
    4.995 3.100
    1.000 1.000
    n=3 2 1 E 16.84 0.05
    4.187
    1.000
    H 2 0.22
    n=1 0 2 E 2.07 0.00
    4.971 1.771
    1.000 1.000
    n=2 1 1 E 0.89 0.01
    4.988
    1.000
    C_G 3 0.01
    n=2 0 2 E 69.86 4.68
    6.004 4.195
    1.000 1.000
    n=2 1 2 E 18.95 3.78
    4.995 3.100
    1.000 1.000
    n=3 2 1 E 16.84 0.05
    4.187
    1.000
    H_G 2 0.22
    n=1 0 2 E 2.07 0.00
    4.971 1.771
    1.000 1.000
    n=2 1 1 E 0.89 0.01
    4.988
    1.000
    %endblock PAO.Basis


    # Lattice, coordinates, k-sampling
    LatticeConstant 15.0000 Ang
    %block LatticeVectors
    1.000000 0.000000 0.000000
    0.000000 1.000000 0.000000
    0.000000 0.000000 1.000000
    %endblock LatticeVectors

    %block kgrid_Monkhorst_Pack
    1 0 0 0.0
    0 1 0 0.0
    0 0 1 0.0
    %endblock kgrid_Monkhorst_Pack

    AtomicCoordinatesFormat NotScaledCartesianAng # Format for coordinates
    AtomicCoorFormatOut Ang

    %block AtomicCoordinatesAndAtomicSpecies
    -0.00001305 1.39137696 -0.58199054 1
    0.00001559 -1.39131893 -0.58209854 1
    1.20541798 0.69582469 -0.58201361 1
    1.20540902 -0.69575812 -0.58202552 1
    -1.20535060 0.69582449 -0.58216644 1
    -1.20539960 -0.69574182 -0.58217128 1
    0.00001963 2.48284460 -0.57741741 2
    0.00000245 -2.48281112 -0.57757235 2
    2.15127460 1.24139401 -0.57738336 2
    2.15129256 -1.24137904 -0.57747607 2
    -2.15125940 1.24140624 -0.57767286 2
    -2.15127288 -1.24137847 -0.57773904 2
    0.00003196 1.39125978 2.77519589 3
    0.00000545 -1.39125731 2.77530704 3
    1.20542647 0.69575598 2.77474408 3
    1.20541822 -0.69577865 2.77485974 3
    -1.20544732 0.69581618 2.77474221 3
    -1.20545658 -0.69579639 2.77485844 3
    0.00001154 2.48268398 2.77220809 4
    -0.00002279 -2.48268283 2.77248520 4
    2.15118306 1.24170370 2.77070140 4
    2.15115349 -1.24173433 2.77084865 4
    -2.15116586 1.24172703 2.77071756 4
    -2.15117033 -1.24170091 2.77086670 4
    %endblock AtomicCoordinatesAndAtomicSpecies

    # DFT, Grid, SCF

    XC.functional LDA # Exchange-correlation functional type
    XC.authors CA # Particular parametrization of xc func
    SpinPolarized .false. # Spin unpolarized calculation
    MeshCutoff 200. Ry # Equivalent planewave cutoff for the 
    grid
    MaxSCFIterations 450 # Maximum number of SCF iterations per 
    step
    DM.MixingWeight 0.3 # New DM amount for next SCF cycle
    DM.Tolerance 1.d-6 # Tolerance in maximum difference
    # between input and output DM
    DM.NumberPulay 3 # Number of SCF steps between pulay 
    mixing

    # Eigenvalue problem: order-N or diagonalization

    SolutionMethod diagon # OrderN or Diagon
    ElectronicTemperature 0 K # Temp. for Fermi smearing

    # Molecular dynamics and relaxations

    #MD.TypeOfRun CG # Type of dynamics:

    #MD.NumCGsteps 100 # Number of CG steps for
    # coordinate optimization
    #MD.MaxCGDispl 0.05 Ang # Maximum atomic displacement
    # in one CG step (Bohr)
    #MD.MaxForceTol 0.01 eV/Ang # Tolerance in the maximum
    # atomic force (Ry/Bohr)
    # Output options

    WriteCoorInitial .true.
    WriteCoorStep .true.
    WriteForces .true.
    WriteKpoints .true.
    WriteEigenvalues .true.
    WriteKbands .true.
    WriteBands .true.
    WriteMullikenPop 1 # Write Mulliken Population Analysis
    WriteCoorXmol .true.
    WriteMDCoorXmol .true.
    WriteMDhistory .true.
    WriteCoorXmol .true.

    # Options for saving/reading information

    DM.UseSaveDM # Use DM Continuation files
    MD.UseSaveXV .true. # Use stored positions and velocities
    MD.UseSaveCG .true. # Use stored positions and velocities
    SaveRho # Write valence pseudocharge at the 
    mesh
    SaveDeltaRho # Write RHOscf-RHOatm at the mesh
    SaveElectrostaticPotential .false. # Write the total elect. pot. at the 
    mesh
    SaveTotalPotential .false. # Write the total pot. at the mesh
    WriteSiestaDim .false. # Write minimum dim to siesta.h and 
    stop
    WriteDenchar # Write information for DENCHAR


    DirectPhi .true.
    SaveMemory .true.





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