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From: Charles Martin <cmartin@curie.syr.edu>
To: chemistry@www.ccl.net
Subject: CCL:electronic correlation





	Some more comments on non-dynamical and dynamical correlation:

	
	An equivalent way to view non-dynamical (or static)  
and dynamical correlation naturally arises within the framework
of very simple pi-electron theory such as the familiar PPP model.
The dynamical correlation enters into the pi-electron effective 
integrals (such as \alpha, \beta, and \gamma) through a good
empirical parameterization.  The static correlation is then just
the  pi-pi correlation included by diagonalizing the pi-CI Matrix.  

	From the ab initio point of view, the dynamical correlation
enters  into the pi-electron effective integrals via time-dependent 
(i.e. dynamical) many-body perturbation theory.  

-- 
========================================================
 ||     Charles H. Martin                            ||
 ||     2-004 Center for Science and Technology      ||
 ||     W. M. Keck Center for Molecular Electronics  ||
 ||     Department of Chemistry                      ||
 ||     Syracuse University                          ||
 ||     Syracuse, NY  13244                          ||
--------------------------------------------------------
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 ||     cmartin@rainbow.uchicago.edu                 ||
 ||     CELL   (315) 415-2093                        ||
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From ROBMARJ@msn.com  Fri Apr 11 04:35:28 1997
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Subject: programs avalible on internet


ANY ONE OUT THERE KNOE OF WEBSITES
TO OBTAIN FREE COPIES OF PROGRAMS
FOR CALCULATING
  LOG P
  ELECTRONIC PARAMETERS  PKA DIPOLE ETC
  STERIC PARAMETERS -CONGEST MOLVOL ECT
    
   WHAT CNDO PROGRAMS ARE AVAILABLE  FREE ON INTERNET E.G. CINMIN
 REGARDS
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From ps@ocisgi7.unizh.ch  Fri Apr 11 06:35:27 1997
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From: ps@ocisgi7.unizh.ch (Serge Pachkovsky)
Message-Id: <199704110953.LAA13395@ocisgi7.unizh.ch>
Subject: Analytical CI gradients in semiempirical programs
To: CHEMISTRY@www.ccl.net
Date: Fri, 11 Apr 1997 11:53:29 +0200 (MDT)
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Hi everybody,

I would like to use this opportunity to thank everybody who'd offered
to run my simple test job with Mopac93 once more. Now, I would try
to explain the reason for this request, and to pose an additional
question.

Mopac, since version 6.0, implements analytical gradient for CI 
energies. The same code is also included in Ampac (starting from
the version 2.1, I believe).  The implementation is described in 
Dewar M.J.S., Liotard D.A. (1990) J Mol Struct (Theochem) 206:123,
and the theory behind it is quite sound. I wanted to do a few 
benchmark computations with this implementation.

As it was already pointed out on CCL (by Dr. A. Holder,
in his message on 13 Jan 1993), " ... some versions of MOPAC and
AMPAC 2.1 are broken in certain places when it comes to analytical
gradient computation (CI to name just one.) ... ". Indeed, both
Mopac6 and Mopac7 Rev. 1 (which I have locally) have problems with 
the input file given at the end this message. However, it is
Mopac93 Rev. 2 which is supposed to be the latest and greatest
of all Mopacs out there (;-)), so I wanted to try that as well.

Unfortunately, Mopac93 Rev. 2 (thank you, Ernst) still produces
incorrect gradient in my test case, even though it is different
>from the result produced by Mopac6 and Mopac7 Rev. 1. This brings
me to my question:

Is there any semiempirical program around which *correctly* implements
the method of the paper referenced above?

With my best regards,

/Serge.P

Here is the input. It does a gradient computation for the third
excited singlet state of a 3x3 CI on closed-shell RHF. (Technically 
speaking, Mopac uses a 4x4 CI, but since one of the states is a
triplet, it doesn't interact with anything and could have been 
eliminated by taking a proper linear combination of configutations
to begin with). The molecule is benzene in almost, but not quite,
D2h symmetry. This should not be a problem, since D2h has no
degenerate representations.

The cartesian gradients on all atoms should be well below 1 kcal/mol/A.
If they are not, then there is a bug in the program you are using.
(This can be verified quite easily by re-doing computation with
NOANCI, which produces correct answer in all Mopacs I know of).

--- cut here ---
MNDO 1SCF GRAD C.I.=2 ROOT=3 SINGLET SCFCRT=0.0000001 &
 PLCRT=0.0000001 T=1000000 MECI

 6          -0.00730   1         1.45978   1        -0.00000   1
 6           1.19790   1         0.77305   1        -0.00000   1
 6           1.19790   1        -0.77304   1        -0.00000   1
 6          -0.00730   1        -1.45978   1        -0.00000   1
 6          -1.21278   1        -0.77327   1        -0.00000   1
 6          -1.21274   1         0.77326   1        -0.00000   1
 1          -0.00698   1         2.55278   1        -0.00000   1
 1           2.16486   1         1.26278   1        -0.00000   1
 1           2.16486   1        -1.26278   1        -0.00000   1
 1          -0.00698   1        -2.55278   1        -0.00000   1
 1          -2.17950   1        -1.26306   1        -0.00000   1
 1          -2.18003   1         1.26315   1        -0.00000   1

--- cut here ---

From gaussian.com!moses@lorentzian.com  Fri Apr 11 11:35:32 1997
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Subject: Cray T3E version of G94 available
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 Gaussian, Inc is pleased to announce the availability of Gaussian 94
 for Cray T3E systems.  This version has been tested under Unicos/mk
 Version 1.4.1, Fortran Version 2.0.3, and C Version 5.0.3.

 With this announcement, we now distribute Gaussian 94 Revision E.2 for
 Convex, Cray, DEC Alpha, Fujitsu, Hitachi, HP-700, IBM, NEC, SGI, Sun,
 and Intel 486 & Pentium system.

 For additional information regarding the Gaussian system of programs,
 please contact us at the address, telephone numbers (voice or facsimile),
 electronic mail, or visit our Website.

 *------------------------*------------------------*-----------------------*
 | David J. Moses, Ph.D.  |  Carnegie Office Park  |  info@gaussian.com    |
 | Vice President, C.O.O. |  Building Six          |  412-279-6700 (Voice) |
 | Gaussian, Inc.         |  Pittsburgh, PA 15106  |  412-279-2118 (FAX)   |
 *------------------------*------------------------*-----------------------*
 |         Be sure to visit our Website at http://www.gaussian.com         |
 *------------------------*------------------------*-----------------------*

 This notice is sent without warranty of any kind, expressed or implied.
 Gaussian is a registered trademark of Gaussian, Inc.  All other trademarks
 are the property of their respective holders.  Specifications and
 availability subject to change without notice.



From genghis@darkwing.uoregon.edu  Fri Apr 11 11:52:32 1997
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Date: Fri, 11 Apr 1997 08:05:41 -0700 (PDT)
From: Dale Andrew Braden <genghis@darkwing.uoregon.edu>
Reply-To: Dale Andrew Braden <genghis@darkwing.uoregon.edu>
To: cclpost <chemistry@www.ccl.net>
Subject: Summary: geometry optimizations
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Dear CCL,

Below is the collection of responses to the following question about
the choice of coordinates for geometry optimizations.  Thanks to all who
responded!

Dale Braden
Department of Chemistry
University of Oregon
Eugene, OR 97403-1253
genghis@darkwing.uoregon.edu

----------------------------------------------------------------
Question:

A brief question:  Are there any circumstances in which a geometry
optimization in Cartesian coordinates would be *faster* than in redundant
internal coordinates? 

The reason I am asking is because I am trying to optimize the geometry of
a hydrogen-bonded dimer in a solvent medium using Gaussian 94, and the
change in the two intermolecular Z-matrix coordinates (distance and angle) 
remains large for many, many iterations.  The geometry isn't exactly
oscillating between two structures, but it isn't settling down, either,
and I thought that perhaps by changing the optimization method from
redundant internal coordinates (the default method in G94) to cartesians,
the optimization might proceed more smoothly to a converged minimum.  I
don't want to try this unless it can work, because the calculation is
expensive. 

-----------------------------------------------------------------
From Anthony.Scott@anu.edu.au Fri Apr 11 07:46:52 1997
Date: Tue, 8 Apr 1997 10:12:05 +1000 (EST)
From: Anthony P Scott <Anthony.Scott@anu.edu.au>
To: Dale Andrew Braden <genghis@darkwing.uoregon.edu>
Subject: Re: CCL:G:geometry optimization methods

Dale,

In my experience one needs to be careful on where you use either
cartesian, redundant or internal co-ordinates in geometry optimizations.

a case in point. Take azulene. write a z-matrix for it and attempt to
optimize in the default redundant co-ordinates. It does not converge. Now
use explicitly z-matrix. converges in just a few steps. Not too sure
about explicitly using cartesians however.

In my work, where I am looking a cyclic type h'bonded systems I always
use z-matrix.

hope this helps.

tony
______________________________________________________________________________
Dr. Anthony P. Scott,
Computational Chemistry Group,      Office Ph.: 61-6-249-3573
Research School of Chemistry,       Dept. Ph.:  61-6-249-3637
Australian National University,     Fax:        61-6-249-0750
Canberra, ACT 0200,                 Email:      Anthony.Scott@anu.edu.au
AUSTRALIA.
______________________________________________________________________________

-----------------------------------------------------------------
From korkin@qtp.ufl.edu Fri Apr 11 07:46:58 1997
Date: Mon, 7 Apr 1997 22:08:44 -0400 (EDT)
From: Anatoli Korkin <korkin@qtp.ufl.edu>
To: genghis@darkwing.uoregon.edu
Subject: Re: CCL:G:geometry optimization methods

Dale,

You may try to optimize your system using Z-matrix and making separate
optimizations for parameters with small and large force constants.
Afetr one or two ineractions you may start the final optimization of
all of them. Do frequency calculation at a lower level first, and use
force constants from it (opt=readfc) in your subsequent optimization at
a higher level.

Anatoli Korkin

---------------------------------------------------------------
From chpajt@bath.ac.uk Fri Apr 11 07:47:02 1997
Date: Tue, 8 Apr 1997 05:58:56 +0100 (BST)
From: A J Turner <chpajt@bath.ac.uk>
To: Dale Andrew Braden <genghis@darkwing.uoregon.edu>
Subject: Re: CCL:G:geometry optimization methods

Hi!

I am not very familier with g94 - but I do write optimisers my self.  The
effect you are seeing can often be caused by a poor initial hessian
matrix.

Rather than look to a different optimiser, how about trying a hessian
generated from a lower theory level to start the thing off?

cheers

Alex

 -------------------------------------------------------------------
|Alexander J Turner         |A.J.Turner@bath.ac.uk                  |
|Post Graduate              |http://www.bath.ac.uk/~chpajt/home.html|
|School of Chemistry        |+144 1225 8262826 ext 5137             |
|University of Bath         |                                       |
|Bath, Avon, U.K.           |Field: QM/MM modeling                  |
 -------------------------------------------------------------------

----------------------------------------------------------------------
From schiffer@h1tw0036.hoechst.com Fri Apr 11 07:47:07 1997
Date: Tue, 08 Apr 1997 09:25:23 +0200
From: "Dr. Heinz Schiffer" <schiffer@h1tw0036.hoechst.com>
To: Dale Andrew Braden <genghis@darkwing.uoregon.edu>,
    Computational Chemistry List <chemistry@www.ccl.net>
Subject: Re: CCL:G:geometry optimization methods

Hi Dale,

Optimization with Z-matrix coordinates is always the worst that you
can do, next come cartesian coordinates, and the best are the natural
internal coordinates of Pulay. Cartesian coordinates are o.k. if you
have a good initial guess of the Hessian matrix (e.g. computed by
a less expensive method). See : Jon Baker, Techniques for Geometry
Optimization : A Comparison of Cartesian and Natural Internal
Coordinates, J. Comput. Chem. 14(9) (1993) 1085-1100.

Ciao,
Heinz

--
Dr. Heinz Schiffer              Phone   ++49-69-305-2330
Hoechst CR&T                    Fax     ++49-69-305-81162
Scientific Computing, G864      Email   schiffer@h1tw0036.hoechst.com
65926 Frankfurt am Main                 schiffer@msmwia.hoechst.com

---------------------------------------------------------------
From kessi@psizi1.psi.ch Fri Apr 11 07:47:12 1997
Date: Tue, 8 Apr 1997 10:21:35 +0200
From: Alain Kessi <kessi@psizi1.psi.ch>
To: genghis@darkwing.uoregon.edu
Subject: Re: CCL:G:geometry optimization methods

> A brief question:  Are there any circumstances in which a geometry
> optimization in Cartesian coordinates would be *faster* than in
redundant
> internal coordinates?

Most definitely: For very large systems, a Cartesian optimization step
will be faster than a redundant internal coordinate step (though the
internal coordinate optimization will likely take less steps, but not
enough so to compensate for the time each step takes). This is due to the
n^3 scaling of internal coordinate steps (where n is the number of
Cartesian coordinates), compared to the n^1 scaling of Cartesian steps.
Note that in both Cartesian and internal coordinates, the number of steps
probably scales something like n^1 (convergence guaranteed in n+1 steps
for harmonic potentials). 

> The reason I am asking is because I am trying to optimize the geometry
of
> a hydrogen-bonded dimer in a solvent medium using Gaussian 94, and the
> change in the two intermolecular Z-matrix coordinates (distance and
angle)
> remains large for many, many iterations.  The geometry isn't exactly
> oscillating between two structures, but it isn't settling down, either,
> and I thought that perhaps by changing the optimization method from
> redundant internal coordinates (the default method in G94) to
cartesians,
> the optimization might proceed more smoothly to a converged minimum.  I
> don't want to try this unless it can work, because the calculation is
> expensive.

Generally speaking, tightly bound structures converge in Cartesians about
as fast as in internal coordinates. In all other cases, internals should
do better. My guess as to what could go wrong with your system is that the
choice of internal coordinates is inadequate. There are many ways to
choose internal coordinates, and many probably perform worse (not better)
than Cartesian coordinates. Also, performance seems to drop when you add
internals to an already complete set. 

The reason can be sought in the fact that internals are better than
Cartesians because the potential energy surface is more harmonic expressed
in internals, which means that the Hessian information collected along the
way will be more useful. If you take the wrong set of internals, you will
not end up with a more harmonic potential. I would look for the problem in
the modelling of the solvent. Probably the best way to describe it is with
the internal coordinates for each molecule of the solvent, plus as few
extra internals as possible to link the molecule to its direct neighbor.
This will probably consist in one stretch, one bend and one dihedral for
each neighbor pair. 

Hope this helps in some way ...

Alain

-------------------------------------------------------------
From kessi@psizi1.psi.ch Fri Apr 11 07:47:18 1997
Date: Tue, 8 Apr 1997 14:50:24 +0200
From: Alain Kessi <kessi@psizi1.psi.ch>
To: genghis@darkwing.uoregon.edu, chemistry@www.ccl.net,
    schiffer@h1tw0036.hoechst.com
Subject: Re: CCL:G:geometry optimization methods

Heinz Schiffer wrote:
> Optimization with Z-matrix coordinates is always the worst that you
> can do, next come cartesian coordinates, and the best are the natural
> internal coordinates of Pulay. Cartesian coordinates are o.k. if you
> have a good initial guess of the Hessian matrix (e.g. computed by
> a less expensive method). See : Jon Baker, Techniques for Geometry
> Optimization : A Comparison of Cartesian and Natural Internal
> Coordinates, J. Comput. Chem. 14(9) (1993) 1085-1100.

You may also want to have a look at our more recent paper

Jon Baker, Alain Kessi and Bernard Delley, The generation and use of
delocalized internal coordinates in geometry optimization, J. Chem. Phys.
105(1) (1996) 192-212.

which shows some trends for much larger systems.

Alain

--------------------------------------------------------------
From mckelvey@kodakr.kodak.com Fri Apr 11 07:47:22 1997
Date: Tue, 08 Apr 1997 11:16:02 +0100
From: John McKelvey <mckelvey@kodakr.kodak.com>
To: "Dr. Heinz Schiffer" <schiffer@h1tw0036.hoechst.com>
Cc: Dale Andrew Braden <genghis@darkwing.uoregon.edu>,
    Computational Chemistry List <chemistry@www.ccl.net>
Subject: Re: CCL:G:geometry optimization methods

Dr. Heinz Schiffer wrote:

> Hi Dale,
>
> Optimization with Z-matrix coordinates is always the worst that you
> can do, next come cartesian coordinates, and the best are the natural
> internal coordinates of Pulay. Cartesian coordinates are o.k. if you
> have a good initial guess of the Hessian matrix (e.g. computed by
> a less expensive method). See : Jon Baker, Techniques for Geometry
> Optimization : A Comparison of Cartesian and Natural Internal
> Coordinates, J. Comput. Chem. 14(9) (1993) 1085-1100.
>
> Ciao,
> Heinz
>

I think I do not agree entirely with this.  Localised sub units, such as
rings whose relative torsion angles are uncertain pose challenging
problems. A bad initial guess at the angle will make cartesians a bad
choice, and a good Hessian won't help much.  Then, either Z-matrices or
redundant internals are FAR superior.  If the torsion has a low barrier
then the Hessian becomes very important.  Torsion angles and all their
characteristics are rampant in dyes, and we have to worry more about
then than any other single geometry factor.

Regards,

John




From jstewart@iti2.net  Fri Apr 11 12:35:37 1997
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Date: Fri, 11 Apr 1997 08:37:34 -0600
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Subject: M:Analytical CI gradients in semiempirical programs
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Serge Pachkovsky writes:

>As it was already pointed out on CCL (by Dr. A. Holder,
>in his message on 13 Jan 1993), " ... some versions of MOPAC and
>AMPAC 2.1 are broken in certain places when it comes to analytical
>gradient computation (CI to name just one.) ... ". Indeed, both
>Mopac6 and Mopac7 Rev. 1 (which I have locally) have problems with 
>the input file given at the end this message. However, it is
>Mopac93 Rev. 2 which is supposed to be the latest and greatest
>of all Mopacs out there (;-)), so I wanted to try that as well.
>
>Unfortunately, Mopac93 Rev. 2 (thank you, Ernst) still produces
>incorrect gradient in my test case, even though it is different
>from the result produced by Mopac6 and Mopac7 Rev. 1. This brings
>me to my question:

The calculation suggested by Dr Serge Pachkovsky, has a solution as 
shown below.  This is not, however, a stationary point, further 
optimization of the geometry yielded a much lower energy.  The active
space selected (C.I.=2) is obviously incomplete, therefore any results
obtained using it are of no value.

I found no faults in the analytical C.I. derivatives.  These derivatives,
developed by D. Liotard and M. J. S. Dewar, are suitable for most systems,
although there are some problems with exotic systems, for example, when
incomplete active spaces are used in high symmetry systems.  In all cases
of this type, the fault can be traced back to faulty data sets.


Jimmy Stewart

                     SUMMARY OF  MNDO   CALCULATION

                                                            MOPAC  93.00


  C6  H6 
                                                       Fri Apr 11 09:14:32
1997
    1SCF  GRAD C.I.=2 ROOT=3 SINGLET PRECISE &
  T=1000000 MECI
 


     1SCF WAS SPECIFIED, SO BFGS WAS NOT USED                 
     SCF FIELD WAS ACHIEVED                                   


          HEAT OF FORMATION       =       178.329452 KCAL =    746.13043 KJ
          ELECTRONIC ENERGY       =     -3211.050618 EV      STATE: SINGLET
Ag  
          CORE-CORE REPULSION     =      2366.323321 EV
          GRADIENT NORM           =         0.088379
          DIPOLE                  =         0.00106 DEBYE    SYMMETRY:
 D2h 
          NO. OF FILLED LEVELS    =         15
          CONFIGURATION INTERACTION WAS USED
          IONIZATION POTENTIAL    =         8.654564 EV
          MOLECULAR WEIGHT        =        78.113
          SCF CALCULATIONS        =         1
          COMPUTATION TIME =   0.450 SECONDS


          FINAL GEOMETRY OBTAINED                                    CHARGE
    1SCF  GRAD C.I.=2 ROOT=3 SINGLET PRECISE &
  T=1000000 MECI
 
  C    0.00000000  0    0.0000000  0    0.0000000  0    0    0    0
-0.0603
  C    1.38679795  1    0.0000000  0    0.0000000  0    1    0    0
-0.0609
  C    1.54669782  1  119.6644424  1    0.0000000  0    2    1    0
-0.0610
  C    1.38669952  1  119.6702375  1    0.0471573  1    3    2    1
-0.0603
  C    1.38681944  1  120.6611367  1   -0.0068056  1    4    3    2
-0.0610
  C    1.38670070  1  120.6704155  1    0.0008064  1    1    2    3
-0.0609
  H    1.09302361  1  119.6655646  1  179.9812673  1    1    2    3
0.0580
  H    1.08399604  1  123.5053120  1  179.9933272  1    2    1    3
0.0621
  H    1.08401053  1  116.8439442  1 -179.9720243  1    3    2    1
0.0621
  H    1.09300380  1  119.6816877  1  179.9776776  1    4    3    2
0.0581
  H    1.08399539  1  123.4911948  1  179.9344594  1    5    4    3
0.0621
  H    1.08399953  1  123.5005382  1  179.9241279  1    6    1    2
0.0621
 


From ps@ocisgi7.unizh.ch  Fri Apr 11 15:35:33 1997
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From: ps@ocisgi7.unizh.ch (Serge Pachkovsky)
Message-Id: <199704111859.UAA14938@ocisgi7.unizh.ch>
Subject: Re: CCL:M:M:Analytical CI gradients in semiempirical programs
To: jstewart@iti2.net (James J. P. Stewart)
Date: Fri, 11 Apr 1997 20:59:11 +0200 (MDT)
Cc: CHEMISTRY@www.ccl.net
In-Reply-To: <3.0.16.19691231170000.26b75eee@iti2.net> from "James J. P. Stewart" at Apr 11, 97 08:37:34 am
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Hi everybody,

First, I would like to nit-pick a bit at the analysis of the CI
gradient problem provided by Dr. Stewart. Anybody not interested
in this can skip to the end of this message, which is much more
dignified. :-)

[nit-picks on]

> J.J.P. Stewart writes:
> The calculation suggested by Dr Serge Pachkovsky, has a solution as 
> shown below.  This is not, however, a stationary point, further 
> optimization of the geometry yielded a much lower energy. 

In all my sincere respect to Dr. Stewart, I beg to disagree. The 
structure given in my original message *is* a stationary point, with a
final Cartesian gradient norm of 1.9 kcal/mol/A. It can be refined
further, if desired. It is not a *minimum* point, as indicated by two 
imaginary frequencies in the vibrational analysis. This should, 
however, have no bearing in the CI computation.

> The active space selected (C.I.=2) is obviously incomplete, therefore 
> any results obtained using it are of no value.

Since neither HOMO nor LUMO are degenerate, and have no close-lying
MOs (HOMO-1 is 1.1 eV below HOMO in the present case, LUMO+1 is 0.75 eV
above LUMO), there is no arbitrariness in the selection of canonical
MOs and the active space constructed from these two orbitals is 
obviously "complete" as far as CI and CI gradient workings are 
concerned. 

Two-orbitals active space is quite obviously unsatisfactory 
("incomplete"?) in a physical sense, since it does not recover 
most of the correlation energy. This is not not a legitimate 
reason for a breakdown of analytical gradients, though ;-)

[nit-picks off]

With the atavistic urges satisfied, here comes the question to
Dr. Stewart which may be of interest to other CCL readers:
Since the master copy of Mopac93 apparently works perfectly 
for my test case:

>           GRADIENT NORM           =         0.088379

while problems seem to exist with the copy of Mopac93 Rev. 2
obtained from QCPE some time in 1996 (I do not have Mopac93 Rev.2
locally, and can't verify it myself, unfortunately):

>           GRADIENT NORM           =         27.74534

, is the Mopac93 Rev. 2 being distributed by QCPE identical to
the master copy of Dr. Stewart? If it is not, how does one
bring his own copy in synch with the latest and greatest of
all Mopacs?

With my best regards,

/Serge.P


From aholder@CCTR.UMKC.EDU  Fri Apr 11 17:35:33 1997
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Date: Fri, 11 Apr 1997 15:47:47 -0500
From: "Andy Holder" <aholder@CCTR.UMKC.EDU>
To: chemistry@www.ccl.net
Subject: Pointer to Semichem Press Release
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For a press release from Semichem Inc. (vendors of AMPAC semiempirical
software and CODESSA QSAR/QSPR software) set your browser at:
   http://www.ccl.net/cca/info/software-packages/semichem.note
or
   http://www.semichem.com

            ********  Note New Address Below!   ********

Best regards, Andy Holder

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
                    DR. ANDREW HOLDER
                         President
 
Semichem, Inc.            ||  Email:         andy@semichem.com
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Shawnee, KS,  66216       ||  FAX Number:    (913) 268-3445
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