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A thin wrapper library for Psi4 and RDKit

Project description

Psikit: a thin wrapper library for Psi4 and RDKit

Inspired from the entry:Calculate HOMO and LUMO with Psi4

Install RDKit and Psi4 from Conda

conda install -c psi4 psi4
conda install -c rdkit rdkit
conda install -c psi4 resp # optional

Install Psikit from Github

Psikit is under development. Recent version of Psikit can install from github.

pip install git+

Install Psikit with pip

Psikit is under development. But current version of Psikit can install from pypi or conda.

pip install psikit
conda install -c iwatobipen psikit


Single point calcuration

from psikit import Psikit
pk = Psikit()
print("SCF Energy: ",
print("HOMO: ", pk.HOMO)
print("LUMO: ", pk.LUMO)
x, y, z, total = pk.dipolemoment
print("SCF Total Dipole Moment: {}".format(total))
# SCF Energy:  -230.712279648862
# HOMO:  -0.32848562009092513
# LUMO:  0.1456515222506689
# SCF Total Dipole Moment: 3.292464934070545e-05

Structure optimization

pk = Psikit()
print("Optimized SCF Energy: ", pk.optimize())
# Optimizer: Optimization complete!
# Optimized SCF Energy:  -230.71352354223438

Calculate RESP Charge

pk = Psikit()
# Optimizer: Optimization complete!
# -227.82180859253418
# array([-0.32506898,  0.83672649, -0.61924915, -0.66135715,  0.10450057,
#    0.10478188,  0.10780051,  0.45186584])

for atom in pk.mol.GetAtoms(): 
    print(atom.GetSymbol(), "ESP:{}\tRESP:{}".format(atom.GetProp("EP"), atom.GetProp("RESP"))) 

# C ESP:-0.49662019588648315	RESP:-0.3250689814483399
# C ESP:0.91473263536048643		RESP:0.83672648554100837
# O ESP:-0.63823808477114718	RESP:-0.61924915363703359
# O ESP:-0.6763331997116846		RESP:-0.66135714989354499
# H ESP:0.14625849864628995		RESP:0.10450056830656008
# H ESP:0.14578513969681847		RESP:0.10478187811883517
# H ESP:0.1530843954112609		RESP:0.1078005104750676
# H ESP:0.45133081125445906		RESP:0.45186584253744722

### Compute Mulliken charges and Lowdin charges

pk = Psikit()
pk.optimize() # or

# array([-0.42203029,  0.72794785, -0.55419051, -0.59333358,  0.16369722,
#    0.1636994 ,  0.15462075,  0.35958916])

#array([-0.30006577,  0.33900448, -0.35983788, -0.28463832,  0.12439944,
#    0.12810672,  0.11935266,  0.23367866])

Jupyter notebook


Code released under the BSD license.

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