NMR, IR, and Raman¶
NMR Shielding¶
Request NMR shielding with the nmr modifier.
.oqp:
hf/sto-3g
energy
nmr(gauge=cgo)
geom="h2o.xyz"
Python:
from oqp.openqp import OpenQP
job = OpenQP("h2o_nmr", silent=1)
job.molecule(geometry="water", charge=0, multiplicity=1)
job.theory.hf(basis="sto-3g")
job.workflow.nmr(gauge="cgo")
mol = job.run()
Legacy .inp:
[input]
runtype=energy
method=hf
basis=sto-3g
[scf]
type=rhf
multiplicity=1
[properties]
scf_prop=nmr
nmr_gauge=cgo
Runnable .oqp:
examples/NMR/H2O_RHF-NMR.oqp.
The same-stem .inp file is retained for legacy use.
nmr_gauge accepts:
| Value | Meaning |
|---|---|
cgo |
Common-gauge-origin shielding. |
giao |
Gauge-including atomic orbital shielding where supported. |
job.workflow.nmr(...) requires an HF/DFT reference-SCF theory. CGO NMR is
limited to closed-shell RHF; use gauge="giao" for open-shell UHF/ROHF
references. The helper also blocks range-separated and meta-GGA functionals for
NMR because those paths are not implemented.
IR and Raman¶
IR and Raman intensities are produced from supported Hessian/frequency workflows. See Hessian and Frequencies for the main Hessian workflow page.
.oqp:
dft/bhhlyp/6-31g*
hess(S0,type=analytical)
ir
raman
geom="h2o.xyz"
Python:
from oqp.openqp import OpenQP
job = OpenQP("h2o_freq", silent=1)
job.molecule(geometry="water", charge=0, multiplicity=1)
job.theory.dft(functional="bhhlyp", basis="6-31g*")
job.workflow.hessian(type="analytical", state=0)
mol = job.run()
Legacy .inp:
[input]
runtype=hess
method=hf
functional=bhhlyp
basis=6-31g*
[hess]
type=analytical
state=0
Runnable .oqp inputs:
Each has a same-stem legacy .inp companion.