[xcrysden] Fermi surface for FCO

Eyvaz Isaev xcrysden@democritos.it
Mon, 20 Jun 2005 13:32:06 -0700 (PDT)


--0-1626196738-1119299526=:110
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Content-Id: 
Content-Disposition: inline

Dear Tone,

b/a and c/a in my calculations are far from those for
HCP structure.
I have attached my input file for scf-calculation and
header file for BXSF-format. FS for a band using
standard reciprocal vectors is also presented (please
have a look at attached jpg-file).

Basis vectors BCO (nbrav=9) lattice read from INPUT_PW

  a/2  b/2  0
 -a/2  b/2  0
   0    0   c 

and so basis vectors in the reciprocal space are 
  1  1/(b/a) 0
 -1  1/(b/a) 0
  0    0     1/(c/a)

It would be great if you can fix this problem.

Bests,
Eyvaz.
  

> I am not familiar with the FCO lattice type (hence
> this is possibly
> stupid(wrong) argument): the convetional FCO cell
> has orthogonal lattice
> vectors, but the corresponding primitive vectors are
> not orthogonal.
> Maybe your b/a and c/a ratios are such that the
> primitve lattice vectors
> are close to those of HCP. Can you check this point.
> If you really
> thinks there is a bug, please send me this
> particular example.
> 
> Regards, Tone
> 
> _______________________________________________
> XCrySDen mailing list
> XCrySDen@democritos.it
> http://www.democritos.it/mailman/listinfo/xcrysden
> 


		
____________________________________________________ 
Yahoo! Sports 
Rekindle the Rivalries. Sign up for Fantasy Football 
http://football.fantasysports.yahoo.com
--0-1626196738-1119299526=:110
Content-Type: image/jpeg; name="band6.jpg"
Content-Transfer-Encoding: base64
Content-Description: 65450214-band6.jpg
Content-Disposition: inline; filename="band6.jpg"
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--0-1626196738-1119299526=:110
Content-Type: application/octet-stream; name="Cu.scf.in"
Content-Transfer-Encoding: base64
Content-Description: 2620702770-Cu.scf.in
Content-Disposition: attachment; filename="Cu.scf.in"
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--0-1626196738-1119299526=:110
Content-Type: application/octet-stream; name=head
Content-Transfer-Encoding: base64
Content-Description: 3586951625-head
Content-Disposition: attachment; filename=head
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--0-1626196738-1119299526=:110--