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bhcsmay

金虫 (正式写手)

[交流] 【求助】MS怎样根据Mulliken布居分析得到COOP曲线?

如题,计算了Mulliken电荷和布居分析,怎样才能得到COOP曲线呢?
是根据Mulliken得到的布居数值的正负对DOS进行分析和分解吗?
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swzhd11

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小木虫(金币+0.5):给个红包,谢谢回帖
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4楼2011-11-24 19:45:47
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大海12345

木虫 (正式写手)

小白


小木虫: 金币+0.5, 给个红包,谢谢回帖
怎么没人回答呢?起码说个可行性嘛
前途只能靠自己,记着你的责任与承诺
6楼2014-03-09 20:22:19
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jghe

金虫 (著名写手)


小木虫: 金币+0.5, 给个红包,谢谢回帖
没用过MS。大部分人用TB-LMTO-ASA。 据称VASP也可以了,不过得用后继的程序,http://cms.mpi.univie.ac.at/vasp ... ewtopic.php?4.13813

Friends of Chemical Bonding:

There seems to be some interest in a computer code which delivers chemical-bonding information (e.g., COHP or COOP plots) from plane-wave (e.g., VASP) calculations. Your wishes have been answered, the program is almost ready.

Although it is rather simple to derive Crystal Orbital Hamilton Population (COHP) analysis from local-orbital methods such as LMTO, plane waves lack locality such that one needs a little thinking to get the chemistry right. My graduate student Volker Deringer has recently shown (J. Phys. Chem. A 2011, 115, 5461) how to reconstruct COHPs from plane waves by projecting the latter onto local orbitals. Thanks, Volker! In addition, there is an analytical algorithm to project from plane-wave and PAW wavefunctions onto any suitable basis (such as the good old Slater orbitals) in order to arrive at projected COHPs, COOPs and, as a hole-in-one, accurate local densities-of-states which correctly add up to the total DOS. This approach (in press at J. Comput. Chem., doi: 10.1002/jcc.23424) is the basis of a new computer program written by another graduate student of mine, Stefan Maintz. Thanks, Stefan! My heartfelt thanks also go to Andrei Tchougr?eff who really knows about math.

In case you are interested to run the program (dubbed LOBSTER, an acronym for "Local-Orbital Basis Suite Towards Electronic-Structure Reconstruction", please visit our freshly renovated site http://www.cohp.de and leave your contact data. LOBSTER digests VASP output and delivers chemical information. We will start shipping executables as well as the source code very soon. Try LOBSTER, it's free for academic and non-profit research!

Best wishes

Richard Dronskowski
RWTH Aachen University
7楼2014-03-10 00:57:38
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