|
4 | 4 | "cell_type": "markdown", |
5 | 5 | "metadata": {}, |
6 | 6 | "source": [ |
7 | | - "# Averag polycyclic thermo group entries for polycyclic(PolycyclicRing)\n", |
| 7 | + "# Average polycyclic thermo group entries for polycyclic(PolycyclicRing)\n", |
8 | 8 | "\n", |
9 | | - "This ipython notebook averages all not None polycyclic group entries to use as polycyclic(PolycyclicRing). Code written by Hao-Wei Pang." |
| 9 | + "This ipython notebook averages all `not None` polycyclic group entries to use as `polycyclic(PolycyclicRing)`. Code written by Hao-Wei Pang." |
10 | 10 | ] |
11 | 11 | }, |
12 | 12 | { |
13 | 13 | "cell_type": "code", |
14 | | - "execution_count": 70, |
| 14 | + "execution_count": 1, |
15 | 15 | "metadata": {}, |
16 | 16 | "outputs": [], |
17 | 17 | "source": [ |
|
31 | 31 | }, |
32 | 32 | { |
33 | 33 | "cell_type": "code", |
34 | | - "execution_count": 71, |
| 34 | + "execution_count": 2, |
35 | 35 | "metadata": {}, |
36 | 36 | "outputs": [], |
37 | 37 | "source": [ |
|
49 | 49 | }, |
50 | 50 | { |
51 | 51 | "cell_type": "code", |
52 | | - "execution_count": 72, |
| 52 | + "execution_count": 3, |
53 | 53 | "metadata": {}, |
54 | 54 | "outputs": [], |
55 | 55 | "source": [ |
|
79 | 79 | }, |
80 | 80 | { |
81 | 81 | "cell_type": "code", |
82 | | - "execution_count": 73, |
| 82 | + "execution_count": 4, |
83 | 83 | "metadata": {}, |
84 | 84 | "outputs": [], |
85 | 85 | "source": [ |
|
108 | 108 | }, |
109 | 109 | { |
110 | 110 | "cell_type": "code", |
111 | | - "execution_count": 74, |
| 111 | + "execution_count": 5, |
112 | 112 | "metadata": {}, |
113 | 113 | "outputs": [ |
114 | 114 | { |
|
125 | 125 | "\"\"\",\n", |
126 | 126 | " thermo = ThermoData(\n", |
127 | 127 | " Tdata = ([300,400,500,600,800,1000,1500],'K'),\n", |
128 | | - " Cpdata = ([-8.0965, -8.0273, -7.5406, -6.7245, -5.1629, -3.8514, -2.2408],'cal/(mol*K)'),\n", |
129 | | - " H298 = (38.139,'kcal/mol'),\n", |
130 | | - " S298 = (52.871,'cal/(mol*K)'),\n", |
| 128 | + " Cpdata = ([-8.1041, -8.0427, -7.5606, -6.7456, -5.1779, -3.8599, -2.2452],'cal/(mol*K)'),\n", |
| 129 | + " H298 = (38.215,'kcal/mol'),\n", |
| 130 | + " S298 = (52.856,'cal/(mol*K)'),\n", |
131 | 131 | " ),\n", |
132 | 132 | " shortDesc = u\"\"\"\"\"\",\n", |
133 | 133 | " longDesc = \n", |
134 | 134 | "u\"\"\"\n", |
135 | | - "Averaged on 2020-06-03 using averaging_polycyclic_group_entries_for_polycyclic(PolycyclicRing).ipynb\n", |
| 135 | + "Averaged on 2025-07-01 using averaging_polycyclic_group_entries_for_polycyclic(PolycyclicRing).ipynb\n", |
136 | 136 | "\"\"\",\n", |
137 | 137 | ")\n", |
138 | 138 | "\n" |
|
142 | 142 | "source": [ |
143 | 143 | "print(entry_block)" |
144 | 144 | ] |
145 | | - }, |
146 | | - { |
147 | | - "cell_type": "code", |
148 | | - "execution_count": null, |
149 | | - "metadata": {}, |
150 | | - "outputs": [], |
151 | | - "source": [] |
152 | 145 | } |
153 | 146 | ], |
154 | 147 | "metadata": { |
155 | 148 | "kernelspec": { |
156 | | - "display_name": "Python 3", |
| 149 | + "display_name": "Python 3 (ipykernel)", |
157 | 150 | "language": "python", |
158 | 151 | "name": "python3" |
159 | 152 | }, |
|
167 | 160 | "name": "python", |
168 | 161 | "nbconvert_exporter": "python", |
169 | 162 | "pygments_lexer": "ipython3", |
170 | | - "version": "3.7.7" |
| 163 | + "version": "3.9.23" |
171 | 164 | } |
172 | 165 | }, |
173 | 166 | "nbformat": 4, |
|
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