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Section IRC
This section contains general information
about the IRC (Intrinsic Reaction Coordinate) calculation. Details of the
computed reaction path are in sections IRC_Forward and IRC_Backward.
atmcrd
ZMAT is a Z-matrix structure (connection matrix) is available.
CART otherwise
geocrd
CART or ZMAT: the type of coordinates to change, optimize and
trace
PointStatus
A string status variable of the current IRC point. Value can be
'DONE' (if the point has been computed), 'EXEC' if its computation has not yet
finished.
nfree
Number of optimization coordinates that can be varied. See
section GeoOpt
idfree
(3,natoms) pointers to the optimization variables for each of
the atomic coordinates. A zero means: frozen by constraint
xyz
Cartesian coordinates
kmatrix
Connection matrix, if a Z-matrix structure is available
zmatrix
Internal coordinates
Energies
Energy at the Transition State
Dipole
Dipole moment at the Transition State
Gradients
Computed energy gradients at the (assumed) Transition State
(should be very small)
AtomCharge Mulliken
Mulliken atomic charges, for the TS geometry
AtomSpinDen Mulliken
Atomic spin densities (Mulliken) at the TS
AtomCharge_initial Voronoi
Voronoi atomic charges at the TS, from the sum-of-fragments
density
AtomCharge_SCF Voronoi
Similar, for the SCF density
modtrc
Defines the start direction for the IRC path. A positive value n selects the n-th eigenvector of the Hessian. A value
-1 selects the gradient vector (which must then, of course, not be exactly
zero). A value -2 specifies that the start direction is specified in the input
file.
step
Step length (in mass-weighted metric) between successive points
of the IRC path.
stepMin
The minimum value for the step
stepMax
The maximum value for the step
Hessian inverted_ZMAT
Inverse Hessian in internal coordinates.
lfree
The number of independent optimization step directions (for the
restricted optimization orthogonal to the IRC path.
vfree
Direction vectors (3,natoms,lfree) for the independent
optimization directions
GradientVector
The current gradient vector (during optimization)
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