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СµÜ³õѧgamess£¬Ï£ÍûÀûÓÃÆäÖеÄsf-tddftѰÕÒÊÆÄÜÇúÏßµÄÔ²×¶½»²æ£¬²Î¿¼µÄÎÄÏ×ΪJ. Phys. Chem. A, 2009, 113 (46), pp 12749¨C12753,¸ÃÎÄÀûÓÃsf-tddftÑо¿ÁËÒÒÏ©S1ºÍS0µÄCI,¿ÉÊÇÎÒû°ì·¨Öظ´³öÎÄÏ×ÖеĽá¹û¡£ÒÔÏÂÊÇÎÒµÄÊäÈëÎļþ£º $CONTRL SCFTYP=UHF DFTTYP=BHHLYP TDDFT=SPNFLP MULT=3 RUNTYP=CONICAL EXETYP=RUN MAXIT=200 $END $SYSTEM TIMLIM=525600 MEMORY=6200000 $END $BASIS GBASIS=N31 NGAUSS=6 NDFUNC=1 NPFUNC=1 $END $guess guess=huckel $end $tddft nstate=5 iroot=1 tammd=.true. $end $CONICL OPTTYP=PENALTY IXROOT(1)=1,4 $END $STATPT NSTEP=1000 $END $scf dirscf=.t. $end $DATA Title C1 C 6.0 0.0000000000 0.0000000000 -0.6635189607 C 6.0 0.0000000000 0.0000000000 0.6635189607 H 1.0 0.9162439386 0.0000000000 -1.2297557119 H 1.0 -0.9162439386 0.0000000000 -1.2297557119 H 1.0 0.9162439386 0.0000000000 1.2297557119 H 1.0 -0.9162439386 0.0000000000 1.2297557119 $END ÆäÖÐÒÒÏ©µÄ½á¹¹ÊÇÎÄÏ׸øµÄ»ù̬½á¹¹£¬IXROOT(1)=1,4ÊÇÒòΪ1£¬4·Ö±ð¶ÔÓ¦S0 ºÍS1£¬¿ÉÊÇÎҵļÆËã½á¹ûºÍÎÄÏ×¶Ô²»ÉÏ£¬Ö»Äܵõ½Ò»¸öÁ½¸öCC¼ü²»¶ÏÔö³¤CH2Ï໥ԶÀëµÄ½á¹¹¡£ ÎÄÏ×ÖмÆËãϸ½ÚµÄÃèÊöÈçÏ£º The BHHLYP hybrid functional (50% Hartree-Fock plus 50% Becke exchange34 with Lee-Yang-Parr correlation35) was employed in this work because SFDFT benchmark calculations suggest better performance with a larger fraction of Hartree-Fock exchange.24 The basis sets employed were 6-31G(d,p) and aug-cc-pVTZ.36,37 The former was used in the MS-CASPT2 study of ref 21 and the latter in the MR-CI calculations in ref 15. The BroydenFletcher-Goldfarb-Shannon (BFGS) quasi-Newton scheme was adopted to minimize the objective function in eq 3. The same optimization criteria, thresholds, and parameters were used as discussed in ref 21, where three criteria were considered to achieve convergence, the change in the objective function f and the parallel and perpendicular components of the gradient of f with respect to the direction of the gradient vector of the penalty (the second term in eq 3). They were minimized simultaneously to be lower than a given threshold. No symmetry constraint was applied during the CI optimizations. Çë¸÷λǰ±²°ïæ¿´Ò»ÏÂÎÒµÄÎÊÌ⾿¾¹³öÔÚÄÄÀÁíÍâÏëÎÊ´ó¼ÒIXROOTºó±ßÀ¨ºÅÀïµÄÊý×ÖÓÐʲôÒâÒ壬ÊÖ²áÀïûÓÐÕÒµ½¡£»¹ÓоÍÊÇͨ¹ý¹Û²ìÊä³öÎļþÎÒ·¢ÏÖÔÚÖм䲽Ö裨NSEARCH£©ÖеÚÒ»ºÍµÚË路¢Ì¬ÒѾ²»ÔÙ¶ÔÓ¦S0ºÍS1£¬²¢ÇÒ³öÏÖÁËºÜ¶àµ¥ÖØÌ¬ºÍÈýÖØÌ¬»ìºÏµÄ¼¤·¢Ì¬£¨S SQUARE=1£©ÇëÎÊÕâÖÖÇé¿öÔõÑù½âÊͺͽâ¾ö¡£ ÁíÍ⸽ÉÏÁËÊä³öÎļþ£¬Çë¸÷λ¸«Õý¡£ ÎÊÌâºÜ¶à£¬Âé·³´ó¼ÒÁË£¬Íò·Ö¸Ðл£¡ |
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