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Added an iPy notebook for determining freq. scaling factors
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alongd committed Jun 14, 2019
1 parent 39ddb25 commit b5c7754
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48 changes: 48 additions & 0 deletions ipython/Untitled.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Determine frequency scaling factors for levels of theory\n",
"#### Based on DOI: 10.1016/j.cpc.2016.09.004"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"from arc.utils.scale import determine_scaling_factors\n",
"\n",
"levels_of_theory = ['b3lyp/6-31g*', 'wb97xd/6-311++g(d,p)', 'ccsd(t)-f12/aug-cc-pvtz']\n",
"\n",
"determine_scaling_factors(levels_of_theory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.16"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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