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ºÜ¼òµ¥µÄÊäÈëÎļþ£º #P TD(NStates=1000) RM06L/6-311+G(2df,2p) SCF=(Tight, Direct, MaxCycle=256) 0 1 H H 1 R Variables: R 5.2 ÔÚÕâ¸ö¼ü³¤5.2¾Í³ö´í£¬±ÈÕâ¸öСµÄ¼ü³¤¶¼Ã»ÎÊÌâ¡£³ö´íÐÅÏ¢ÈçÏ£º SCF Done: E(RM06L) = -0.906846534525 A.U. after 8 cycles Convg = 0.4280D-08 -V/T = 2.0204 KE= 8.887264120360D-01 PE=-2.089022655327D+00 EE= 1.916848609593D-01 Leave Link 502 at Mon May 26 13:56:26 2014, MaxMem=26214400000 cpu: 2.9 (Enter /usr/local/g09/l801.exe) Range of M.O.s used for correlation: 1 18 NBasis= 18 NAE= 1 NBE= 1 NFC= 0 NFV= 0 NROrb= 18 NOA= 1 NOB= 1 NVA= 17 NVB= 17 **** Fatal Problem: The smallest alpha delta epsilon is 0.67486854D-03 Error termination via Lnk1e in /usr/local/g09/l801.exe ÕÒÁ˺öàûÕÒµ½½â¾ö°ì·¨£¬Çó½Ì°¡£¡£¡£¡£¡ |
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- ³æºÅ: 5482319
- ×¢²á: 2017-01-14
- ÐÔ±ð: GG
- רҵ: ÀíÂۺͼÆË㻯ѧ
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http://blog.sina.com.cn/s/blog_63f1237a0100gr29.html ÕâÊÇÎÒÔÚÐÂÀ˲©¿ÍÉÏ¿´µ½µÄ£¬ÒÔÏÂÊDz©¿ÍÄÚÈÝ¡£ Ò»¸ö×î³£¼ûµÄWarning£º£¨ÒÔÏÂÊÇÕª×ÔCCL£¬ÒýºÅÄÚΪ¸ß˹¹«Ë¾¶Ô´ËwarningµÄ»Ø¸´½âÊÍ£© **** Warning!!: The largest alpha MO coefficient is 0.10268903D+02 **** Warning!!: The smallest alpha delta epsilon is 0.84363472D-01 "Gaussian tests the values of the MO coefficients and orbital energies after each SCF calculation. When you get a warning about the smallest delta epsilon, the warning is referring to the difference between orbital energies. Since some of the equations in post-HF methods include a term in the numerator which has the MO coefficients to some positive integer and a difference in orbital energies in the denominator, the calculations can become numerically unstable if the numerator is too large (e.g. MO coefficients too large) or the denominator is too small (orbital energy difference too small). So, this is a warning that the post-HF results may be affected. However, the criteria for these warnings are fairly strict, so the vast majority of the calculations that have these warning messages do not actually suffer from numerical instabilities. If you have results that don't seem to make sense, and these warnings are present, it would be a good idea to repeat the calculation with a different basis set (these problems tend to be worse for basis sets with many diffuse functions) to verify the results." ×ܽáһϣ¬¾ÍÊÇͨ³£Ã»ÓÐʲô¹ØÏµ¡£ Èç¹û·¢ÏÖ½á¹û²»ºÏÀí£¨ÊÇ·ñºÏÀí£¬ÄǵÃ×Ô¼º¸ù¾ÝÌåϵÅжϣ©£¬ ¿ÉÄÜÐèÒªÓò»º¬ÃÖÉ¢µÄ»ù×éÊÔÊÔ¿´¡£ |
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