I wonder wether iron (Z=26) knows that it is Nickel just if one gives
it a new name ?
DEEP THOUGHT in D. Adams; Hitchhikers Guide to the Galaxy:
"I think the problem, to be quite honest with you,
is that you have never actually known what the question is."
Dr. Gerhard H. Fecher
Institut of Inorganic and Analytical Chemistry
Johannes Gutenberg - University
Max Planck Institute for Chemical Physics of Solids
Von: Wien [wien-boun...@zeus.theochem.tuwien.ac.at] im Auftrag von
Víctor Luaña Cabal [vic...@fluor.quimica.uniovi.es]
Gesendet: Mittwoch, 23. August 2017 00:33
An: A Mailing list for WIEN2k users
Cc: Victor Luaña
Betreff: Re: [Wien] How to simulate the ionic state of a compound?
On Tue, Aug 22, 2017 at 11:41:53PM +0200, pieper wrote:
my response to Abderrahmane Reggad appears perhaps a little harsh. It
was not meant that way. I wanted to emphasize that in my view the idea
of telling Wien2k (or any other DFT program) its result (where the
electrons are) and to simulate properties from there is completely
It was not harsh at all in my perception, but I canot say what
Abderrahmane thought about your words.
I perceived as a normal exchange of ideas in a subject that I love.
I agree that using a questionable populaton technique to obtain a
of electrons associated to an ion from a expensive DFT calculation
is not neccesarily a good idea. Providing a number to say this is a
Ni(+1.98) O(-2.02) crystal should not be the main result from a good
article. However, a good physically based theory of chemical bonding in
molecules, solids and clusters provides far more that that.
Let me be very particular in describing QTAIM (quantum theory of atoms
in molecules, aka Richard F. W. Bader et al work) as a beautiful and
well founded physical teory on chemical bonding.
Bader's QTAIM can be used to partition every property into
of a particular atom or functional group.
Then you can find an explanation why many perovskite oxides, for
instance, have a very similar bulk modulus, and the explanation comes
from the fact that the oxide is the major contribution, and that
contribution is common to the incumbent crystals.
This is, however, what I wanted to point out: DFT (or Wien2k) tells
where the electrons are. Thats its central result. It does not make
sense (to me) to use a DFT program to - as A. Reggad put it -
the NiO compound in its ionic state". If NiO would be a ionic compound
then DFT would (hopefully, when set up properly) calculate an electron
density with a lot of weight at O and a lot less at Ni as a RESULT.
simulation of any property one wishes to study can proceed from there.
I agree, of course. That should be the spirit of an ab initio
However, DFT sometimes separates from the ab initio family when the xc
functional is chosen not because of its properties or for exploring the
sensibility of the predictions to the functional but because a spurious
predictive agreement to whatever 'experiment'.
I believe finding explanations to peculiar facts is the real motive
of computational research, at least until the point is achieved at
which theoretical calculations become competitive with experimental
measurements in terms of precision, exactitude and cost.
And if the electron density of NiO does not really resemble the ionic
picture, why use the ionic model to simulate things?
Yes, but having a predictive measurement of the ionicity lets you
examine how ionicity depends on thermodynamic conditions: is the effect
of pressure more important than the effect of temperature or pH ... on
a geological scale?
*Chemical bonding* can be at the core of geophysics, research on
materials, ... and many more fields. However, I'm a peculiar chemist
I love Physical Review since I was working on my phd thesis, long ago.
Best regards from sunny north Spain,
. . "Half of the US people use twitter to form its opinion and
/ `' \ also elect the US president. I only hope they are not the
/(o)(o)\ half". --From a sentence by Gore Vidal
/`. \/ .'\
/ '`'` \ "[Technocrats, academics and journalists] are often
| \'`'`/ | by hope while the public at large tends to be more focused
| |'`'`| | on fear." -- Russell Mead (The Washington Post, 2017)
! Dr.Víctor Luaña, in silico chemist & prof. !
! Departamento de Química Física y Analítica !
! Universidad de Oviedo, 33006-Oviedo, Spain !
! e-mail: <vic...@fluor.quimica.uniovi.es> !
! phone: +34-985-103491 fax: +34-985-103125 !
ORCID: 0000-0003-4585-4627; RID: H-2045-2015
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