• 適合超極化率計算的R-ORP基組在Gaussian下的格式

    適合超極化率計算的R-ORP基組在Gaussian下的格式

    文/Sobereva @北京科音  2016-Jun-22

    在Int. J. Quantum Chem., 116, 1084 (2016)中提出了R-ORP基組,大小和aug-cc-pVDZ差不多,但根據文中測試其計算第一超極化率精度甚至超過d-aug-cc-pVDZ,故適合中、大體系第一超極化率計算。此基組目前只對H、C、N、O、F有定義。原文中并沒有給出此基組的Gaussian格式的定義形式,在EMSL上不僅連R-ORP,就連在J. Comp. Chem., 34, 2006 (2013)中提出的它的前身ORP基組也沒有。為方便大家使用,這里把此基組整理成了Gaussian自定義基組的格式,可直接使用:

    H
    S 4 1.0
    34.06134100 0.00601459
    5.12357460 0.04512065
    1.16466260 0.20107577
    0.32723041 0.50627625
    S 1 1.0
    0.10307241 1.00000000
    S 1 1.0
    0.03246618 1.00000000
    P 1 1.0
    0.35000000 1.00000000
    P 1 1.0
    0.09000000 1.00000000
    ****
    C
    S 9 1.0
    8506.0384 0.00051039
    1275.7329 0.00394372
    290.31187 0.02023658
    82.0562 0.07865967
    26.479641 0.22851902
    9.2414585 0.43506553
    3.364353 0.35573323
    0.87174164 0.04196349
    0.36352352 -0.01271868
    S 9 1.0
    8506.0384 0.00010867
    1275.7329 0.00084386
    290.31187 0.00434683
    82.0562 0.01744452
    26.479641 0.05388508
    9.2414585 0.12665993
    3.364353 0.17108907
    0.87174164 -0.14334921
    0.36352352 -0.59498063
    S 1 1.0
    0.12873135 1.00000000
    S 1 1.0
    0.04558649 1.00000000
    P 5 1.0
    34.70949600 0.00533303
    7.95908830 0.03583140
    2.37869720 0.14216808
    0.81540065 0.34127498
    0.28953785 0.46636609
    P 1 1.0
    0.10084754 1.00000000
    P 1 1.0
    0.03512572 1.00000000
    D 1 1.0
    0.18000000 1.00000000
    D 1 1.0
    0.07000000 1.00000000
    ****
    N
    S 9 1.0
    11913.41676 0.00049611
    1786.721383 0.00383408
    406.5901283 0.0196969
    114.9252507 0.07684579
    37.10588342 0.22527696
    12.9716762 0.43367158
    4.73022912 0.35956888
    1.25251843 0.04428387
    0.51260071 -0.01217813
    S 9 1.0
    11913.41676 0.00010922
    1786.721383 0.00084896
    406.5901283 0.00437321
    114.9252507 0.01765122
    37.10588342 0.0549832
    12.9716762 0.13136869
    4.73022912 0.17411045
    1.25251843 -0.15220335
    0.51260071 -0.59683122
    S 1 1.0
    0.17939714 1.00000000
    S 1 1.0
    0.06278441 1.00000000
    P 5 1.0
    49.21875839 0.00555496
    11.34893530 0.03801172
    3.42850882 0.14956274
    1.17995126 0.34815303
    0.41726123 0.46047167
    P 1 1.0
    0.14295131 1.00000000
    P 1 1.0
    0.04897430 1.00000000
    D 1 1.0
    0.23000000 1.00000000
    D 1 1.0
    0.09000000 1.00000000
    ****
    O
    S 9 1.0
    15902.64746 0.00048546
    2384.953783 0.00375233
    542.7195718 0.01929372
    153.4040787 0.07547964
    49.54571614 0.22279785
    17.3396499 0.43258503
    6.33033553 0.36256442
    1.69958822 0.04608127
    0.68954491 -0.01193114
    S 9 1.0
    15902.64746 0.00011
    2384.953783 0.0008557
    542.7195718 0.00440796
    153.4040787 0.01786773
    49.54571614 0.05601762
    17.3396499 0.13552574
    6.33033553 0.17740418
    1.69958822 -0.16081994
    0.68954491 -0.60061081
    S 1 1.0
    0.23936028 1.00000000
    S 1 1.0
    0.08308863 1.00000000
    P 5 1.0
    63.27052401 0.00607256
    14.62331230 0.04189531
    4.44895180 0.16170351
    1.52815132 0.35592658
    0.52997316 0.45002248
    P 1 1.0
    0.17509446 1.00000000
    P 1 1.0
    0.05784834 1.00000000
    D 1 1.0
    0.53000000 1.00000000
    D 1 1.0
    0.14000000 1.00000000
    ****
    F
    S 9 1.0
    20450.489 0.00047787
    3066.9547 0.00369406
    697.91003 0.01900622
    197.2702 0.07450512
    63.728343 0.22104204
    22.321809 0.43180701
    8.1557609 0.36460092
    2.2114295 0.04742117
    0.89038567 -0.011682
    S 9 1.0
    20450.489 0.00011044
    3066.9547 0.00085966
    697.91003 0.00442845
    197.2702 0.01800679
    63.728343 0.05672963
    22.321809 0.13847841
    8.1557609 0.17944922
    2.2114295 -0.16676744
    0.89038567 -0.60277321
    S 1 1.0
    0.30696604 1.00000000
    S 1 1.0
    0.10582847 1.00000000
    P 5 1.0
    80.21802000 0.00637424
    18.58728100 0.04429168
    5.68445810 0.16888756
    1.95127810 0.36060472
    0.67024114 0.44416777
    P 1 1.0
    0.21682252 1.00000000
    P 1 1.0
    0.07014193 1.00000000
    D 1 1.0
    0.70000000 1.00000000
    D 1 1.0
    0.17000000 1.00000000
    ****

    PS:如果連Gaussian里怎么用自定義基組也不知道的話看《詳解Gaussian中混合基組、自定義基組和贗勢基組的輸入》(http://www.shanxitv.org/60)。
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