{"id":98,"date":"2016-06-10T11:59:14","date_gmt":"2016-06-10T15:59:14","guid":{"rendered":"http:\/\/williamkennerly.com\/blog\/?p=98"},"modified":"2016-06-22T13:38:26","modified_gmt":"2016-06-22T17:38:26","slug":"different-basis-sets-for-gaussian-calculations","status":"publish","type":"post","link":"http:\/\/williamkennerly.com\/blog\/different-basis-sets-for-gaussian-calculations\/","title":{"rendered":"Different Basis Sets for Gaussian Calculations"},"content":{"rendered":"<p>There are multiple types of functionals and basis sets that can be used for different calculations in Gaussian such as optimizations, scans, and excited state energy calculations. A basis set is a set of basis functions. Each basis set is a different size and generally, the bigger the basis set size, the more accurate the results will be. The names of the basis sets accessible through Gaussian are 6-31G (which can include +,++, and different orbitals), STO-3G, 3-21G, 6-311G, cc-pVDZ, cc-pVTZ, cc-pVQZ, LanL2DZ, LanL2MB, SDD, DGDZVP, DGDZVP2, DGTZVP, GEN, and GENECP. However, really there are many more options available which are discussed more thoroughly on the following website (<a href=\"http:\/\/www.gaussian.com\/g_tech\/g_ur\/m_basis_sets.htm\">http:\/\/www.gaussian.com\/g_tech\/g_ur\/m_basis_sets.htm<\/a>). It is also possible to create your own basis set using Gaussian, but this can be time-consuming and complicated. In relation to 6-31G, the increasing size of the basis set in terms of +, ++, aug- (which are augmented basis sets) \u00a0and p,d,f orbitals or *,** (polarization functions), the more that are included, the more accurate results these should be as well. Each basis set contains a different number of Cartesian (etc) basis functions, which can be found in the output file (ctrl-f &#8220;basis function&#8221;). The larger the number of basis functions corresponds to a longer calculation time.<\/p>\n<p>I performed an optimization calculation on a new conformation of tryptophan and then ran excited state calculations using 16 combinations of functionals\u00a0(b3lyp, cam-b3lyp, pbepbe, and wb97xd) and basis sets\u00a0(6-31G, 6-31+G, 6-31+G(d,p), and cc-pVDZ). Since 6-31G is the smallest basis set here, it took the shortest time to complete calculations in all of the functionals. Also, within functionals, cc-pVDZ is similar in time to 6-31G. Below is a table showing the times and number of basis functions for each basis set that was used in calculating excited state energies of an optimized configuration of tryptophan.<\/p>\n<p>A) Basis set:\u00a06-31G<\/p>\n<p>Cartesian Basis functions: 159<\/p>\n<table style=\"height: 102px\" width=\"453\">\n<tbody>\n<tr>\n<td width=\"165\">Functional<\/td>\n<td width=\"77\">b3lyp<\/td>\n<td width=\"77\">cam-b3lyp<\/td>\n<td width=\"77\">PBEPBE<\/td>\n<td width=\"77\">wB97XD<\/td>\n<\/tr>\n<tr>\n<td>Job CPU Time \/ Minutes<\/td>\n<td>7.733<\/td>\n<td>9.717<\/td>\n<td>7.45<\/td>\n<td>10.1<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>B) Basis set:\u00a06-31+G<\/p>\n<p>Cartesian Basis functions: 219<\/p>\n<table width=\"473\">\n<tbody>\n<tr>\n<td width=\"165\">Functional<\/td>\n<td width=\"77\">b3lyp<\/td>\n<td width=\"77\">cam-b3lyp<\/td>\n<td width=\"77\">PBEPBE<\/td>\n<td width=\"77\">wB97XD<\/td>\n<\/tr>\n<tr>\n<td>Job CPU Time \/ Minutes<\/td>\n<td>25.88<\/td>\n<td>34.63<\/td>\n<td>20.5<\/td>\n<td>34.65<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>C) Basis set: 6-31+G(d,p)<\/p>\n<p>Cartesian Basis functions: 345<\/p>\n<table width=\"473\">\n<tbody>\n<tr>\n<td width=\"165\">Functional<\/td>\n<td width=\"77\">b3lyp<\/td>\n<td width=\"77\">cam-b3lyp<\/td>\n<td width=\"77\">PBEPBE<\/td>\n<td width=\"77\">wB97XD<\/td>\n<\/tr>\n<tr>\n<td>Job CPU Time \/ Minutes<\/td>\n<td>59.53<\/td>\n<td>76.0167<\/td>\n<td>48.05<\/td>\n<td>81.783<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>D) Basis set: cc-pvdz<\/p>\n<p>Cartesian basis functions: 285<\/p>\n<table width=\"473\">\n<tbody>\n<tr>\n<td width=\"165\">Functional<\/td>\n<td width=\"77\">b3lyp<\/td>\n<td width=\"77\">cam-b3lyp<\/td>\n<td width=\"77\">PBEPBE<\/td>\n<td width=\"77\">wB97XD<\/td>\n<\/tr>\n<tr>\n<td>Job CPU Time \/ Minutes<\/td>\n<td>29.0167<\/td>\n<td>39.267<\/td>\n<td>24.6<\/td>\n<td>39.03<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There are multiple types of functionals and basis sets that can be used for different calculations in Gaussian such as optimizations, scans, and excited state energy calculations. A basis set is a set of basis functions. Each basis set is &hellip; <a href=\"http:\/\/williamkennerly.com\/blog\/different-basis-sets-for-gaussian-calculations\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[13],"class_list":["post-98","post","type-post","status-publish","format-standard","hentry","category-computing","tag-gaussian"],"_links":{"self":[{"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/posts\/98","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/comments?post=98"}],"version-history":[{"count":8,"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/posts\/98\/revisions"}],"predecessor-version":[{"id":153,"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/posts\/98\/revisions\/153"}],"wp:attachment":[{"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/media?parent=98"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/categories?post=98"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/williamkennerly.com\/blog\/wp-json\/wp\/v2\/tags?post=98"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}