| ²é¿´: 984 | »Ø¸´: 0 | |||
lzhhzͳæ (СÓÐÃûÆø)
|
[½»Á÷]
Ó«¹â·¢É䲨³¤µÄ¼ÆËã
|
|
×î½üÔÚÑо¿Ò»»¯ºÏÎï¸úÒõÀë×Ó¸´ºÏǰºóµÄÓ«¹â±ä»¯Çé¿ö£¬Êµ¼Ê²âÁ¿Õâ¸ö»¯ºÏÎ︴ºÏǰµÄÓ«¹âÊÇÔÚ 651 nm£¨1.90 ev£©£¬¸úÒõÀë×Ó¸´ºÏºóÓ«¹âÏûʧ£¬È»ºóÓÃg09¼ÆËãÁËÕâ¸ö»¯ºÏÎïºÍÒõÀë×Ó¸´ºÏǰºóµÄÓ«¹â·¢É䲨³¤£¬¸´ºÏǰµÄÓ«¹â·¢É䲨³¤ÔÚ725 nm£¨1.71 ev£©£¬¸´ºÏºó½á¹ûÈçÏ£º Excited State 1: Singlet-A 0.8560 eV 1448.46 nm f=0.0020 <S**2>=0.000 145 ->146 0.70518 This state for optimization and/or second-order correction. Total Energy, E(TD-HF/TD-KS) = -2000.01355169 Copying the excited state density for this state as the 1-particle RhoCI density. Excited State 2: Singlet-A 2.0178 eV 614.46 nm f=0.2338 <S**2>=0.000 144 ->146 0.70424 Excited State 3: Singlet-A 2.6359 eV 470.37 nm f=0.3304 <S**2>=0.000 143 ->146 -0.70251 Õâ¸ö½á¹û²»ÖªµÀÔõô·ÖÎö£¬µ½µ×ÊÇ¿´µÚÒ»¼¤·¢Äܵ쬻¹ÊÇ¿´ºóÃæµÄ¡£Ð»Ð»£¡ |
» ²ÂÄãϲ»¶
TcÊý¾ÝÄâºÏ
ÒѾÓÐ1È˻ظ´
ÂÈ»¯ÄÆÓëÓлú»ÇËá·ÖÀë
ÒѾÓÐ1È˻ظ´
ÎïÀí»¯Ñ§ÂÛÎÄÈóÉ«/·ÒëÔõôÊÕ·Ñ?
ÒѾÓÐ201È˻ظ´
º«¹ú¸ªÉ½´óѧ´¢ÄÜµç³ØÓ빦ÄܲÄÁÏʵÑéÊÒ³ÏÕв©ºó£¨µç³Ø/µç»¯Ñ§/Æ÷¼þÖÆ±¸/MOFºÏ³É£©
ÒѾÓÐ187È˻ظ´
Æí¸££¡
ÒѾÓÐ79È˻ظ´
É¢½ðÇóºÃÔË
ÒѾÓÐ315È˻ظ´
²©Ê¿ÉúÕÐÉú, ²ÄÁÏÄ£Äâ·½Ïò£¬University of South Carolina
ÒѾÓÐ0È˻ظ´
Postdoc position, materials simulations/machine learning, U. of South Carolina
ÒѾÓÐ0È˻ظ´
Æí¸£Çà»ù
ÒѾÓÐ34È˻ظ´
Èðµä-²©ºó-¹Ì̬µç³Ø-Õ³½á¼Á-ï®Àë×Óµç³Ø·½Ïò
ÒѾÓÐ53È˻ظ´
ÕÒµ½Ò»Ð©Ïà¹ØµÄ¾«»ªÌû×Ó£¬Ï£ÍûÓÐÓÃŶ~
G09 ¼ÆËã³öµÄÎüÊպͷ¢É䲨³¤±ÈʵÑéÖµ³¤
ÒѾÓÐ11È˻ظ´
¸ß˹TD-DFT¼ÆËãÓ«¹â·¢ÉäÆ×µÄÎÊÌâ
ÒѾÓÐ7È˻ظ´
¹ØÓÚÓ«¹â¼¤·¢·¢Éä¹âÆ×µÄÒ»¸öÎÊÌâ
ÒѾÓÐ9È˻ظ´
Ó«¹âµÄ¼¤·¢²¨³¤ÎÊÌâ
ÒѾÓÐ5È˻ظ´
ÈçºÎ¼ÆËãÓ«¹â¹âÆ×
ÒѾÓÐ11È˻ظ´
ÇóÓ«¹âÊÔ¼ÁµÄ¼¤·¢ºÍ·¢É䲨³¤
ÒѾÓÐ7È˻ظ´
ÇóÖúÓ«¹â¹âÆ×²¨³¤µÄÈ·¶¨
ÒѾÓÐ7È˻ظ´
¼±ÇóÓ«¹â¹âÆ×Öе路¢ºÍ·¢Éä¹âÆ×Ó벨³¤µÄ¶ÔÓ¦¹ØÏµ£¿
ÒѾÓÐ4È˻ظ´
Ïë²âÒ»¸öÓ«¹â»¯ºÏÎïµÄ¼¤·¢ºÍ·¢É䲨³¤
ÒѾÓÐ10È˻ظ´
ÓÃÓ«¹â¹âÆ×ÒÇÔõôȷ¶¨ÎïÖʵķ¢Éä·å£¿
ÒѾÓÐ5È˻ظ´
¹ØÓÚ¹ÌÌåÓ«¹â·¢Éä¹âÆ×µÄ²âÊÔ·½·¨
ÒѾÓÐ8È˻ظ´
Ò»¸öÑùÆ·½øÐÐÓ«¹â¹âÆ×²â¶¨Ê±£¬×î´ó·¢É䲨³¤Ëæ×ż¤·¢²¨³¤µÄ¸Ä±ä¶ø¸Ä±ä£¬Ôõô»ØÊÂ
ÒѾÓÐ12È˻ظ´
ÇóÖúÈçºÎÇó²»Í¬²¨³¤µÄɫɢֵ
ÒѾÓÐ4È˻ظ´
Çó¸ßÊÖÖ¸µã£º¹ÌÌåÓ«¹âÁ¿×Ó²úÂÊÓ뼤·¢²¨³¤µÄ¹ØÏµ
ÒѾÓÐ9È˻ظ´
Ó«¹â²âÊԵ路¢²¨³¤Óë·¢É䲨³¤µÄÎÊÌâ
ÒѾÓÐ4È˻ظ´
ÎÒµÄÓ«¹âÎïÖÊ£¬ÎªÊ²Ã´Îҵ路¢²¨³¤´óÓÚ·¢É䲨³¤
ÒѾÓÐ14È˻ظ´
ÇóÖúÓ«¹â¼ÆËã·¢É䲨³¤ÖµÓëʵÑé²î±ð±È½Ï´ó ÓÐ50nm£¬Ôõô°ì£¿
ÒѾÓÐ3È˻ظ´
gaussian ¼ÆËãµÃµ½µÄÓ«¹â¹âÆ×Ñ¡ÔñÆä×î´ó·¢Éä¹âÆ×ÊÇ¿´f×î´ó¶ÔÓ¦µÄÂð£¿
ÒѾÓÐ14È˻ظ´
¡¾ÇóÖú¡¿Ó«¹â¼ì²âÖгöÏÖ¼¤·¢²¨³¤±È·¢É䲨³¤³¤µÄÇé¿ö
ÒѾÓÐ8È˻ظ´
¡¾×ÊÔ´¡¿³£ÓÃÓ«¹âȾÁϵ路¢ºÍ·¢É䲨³¤
ÒѾÓÐ5È˻ظ´
¡¾ÇóÖú¡¿·¢ÉäºÍ¼¤·¢¹âÆ×
ÒѾÓÐ7È˻ظ´
¡¾ÇóÖú¡¿ÇëÎÊÓ«¹â·¢É䲨³¤»áËæ¼¤·¢²¨³¤¸Ä±ä¶ø¸Ä±äÂð£¿
ÒѾÓÐ10È˻ظ´
²âÓ«¹âʱ¼¤·¢²¨³¤µÄÑ¡Ôñ
ÒѾÓÐ13È˻ظ´
¿ÆÑдÓСľ³æ¿ªÊ¼£¬ÈËÈËΪÎÒ£¬ÎÒΪÈËÈË









»Ø¸´´ËÂ¥
µã»÷ÕâÀïËÑË÷¸ü¶àÏà¹Ø×ÊÔ´
28