= Excited-state properties based on analytic derivatives =

Using the same input for H2O with additional TDDFT input:

{{{

$tddft
imethod
1
nexit
0 0 0 1 
itda
0
idiag
1
istore
1
iprt
3
lefteig
crit_vec
1.d-8
crit_e
1.d-14
$end

}}}

== Excited state dipole moment ==

Input:

{{{

$resp
GEOM
norder
0
method
2
nfiles
1
$end

}}}

Output:

{{{

  Diff dipole (xyz in au) :
  <hT>=      0.000000000000      0.000000000000     -1.348478984647
  <hZ>=      0.000000000000     -0.000000000000      0.305146495122
  <hP>=      0.000000000000      0.000000000000     -1.043332489525

  Diff dipole (xyz in debye) :
  <hT>=      0.000000000000      0.000000000000     -3.427516686411
  <hZ>=      0.000000000000     -0.000000000000      0.775610681174
  <hP>=      0.000000000000      0.000000000000     -2.651906005236

  GS and EX Dipole moments (Debye) : -1 is attached.
   x =       0.000000000000     -0.000000000000
   y =       0.000000000000      0.000000000000
   z =      -2.538155784773      0.113750220464

}}}

where <hP>=<hT>+<hZ> gives the difference dipole moment, <hT> represents the contribution from the 
difference density matrix, <hZ> represents the contribution from the response part. The final EX dipole moment
is obtained by sum of <hP> with the ground state dipole moment (GS).

== Excited state gradient ==

Input: 

{{{

$resp
GEOM
norder
1
method
2 
nfiles
1 
$end

}}}

Output for the gradients of ^1^B2 state of H2O:

Medium Grid:

{{{

  Gradient contribution from GS+ex
     1        0.000000000000001        0.000000000000004       -0.103086043255205
     2        0.083236454662828        0.000000000000001        0.051543836481286
     3       -0.083236454662827       -0.000000000000001        0.051543836481286
  Sum of gradient contribution from GS+ex
              0.000000000000001        0.000000000000005        0.000001629707368

}}}

Fine Grid:

{{{

  Gradient contribution from GS+ex
     1        0.000000000000002        0.000000000000001       -0.103085898266684
     2        0.083237085041671        0.000000000000001        0.051543185369299
     3       -0.083237085041669       -0.000000000000001        0.051543185369298
  Sum of gradient contribution from GS+ex
              0.000000000000003        0.000000000000001        0.000000472471914

}}}

Ultra Fine Grid:

{{{

  Gradient contribution from GS+ex
     1        0.000000000000000        0.000000000000027       -0.103085833067140
     2        0.083236873841993        0.000000000000000        0.051542902100064
     3       -0.083236873841994       -0.000000000000001        0.051542902100064
  Sum of gradient contribution from GS+ex
             -0.000000000000000        0.000000000000027       -0.000000028867012

}}}