From kirving@seciu.uy  Mon Oct 17 07:20:46 1994
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Date: Mon, 17 Oct 94 07:39 GMT-3:00
From: kirving@seciu.uy (kenneth irving)
To: CHEMISTRY@ccl.net
Subject: Re: BSSE and DFT


Hi!
 With respect to the question on BSSE and DFT: Martina Kieninger,
Sandor Suhai and Istvan Mayer have had another paper on the subject
accepted for Chem. Phys. Letters and should appear shortly.
 This paper reports the developing and coding of Mayer's Chemical
Hamiltonian approach to correct BSSE in the framework of DFT. The
application reported is, precisely, the water dimer. As I understand
it, the author has also other work going on on this subject. I
suggest you reach her(M.K.) directly at dok411@dkfz-heidelberg.de.
 Cheers.
              Oscar

-------------------------------------
Oscar N. Ventura (oscar@bilbo.edu.uy)

From bewilson@emn.com  Mon Oct 17 11:20:47 1994
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Date: Mon, 17 Oct 1994 11:18:42 EDT
From: "Bruce E. Wilson (bewilson@emn.com), Eastman Chemical Company"
      <bewilson@emn.com>
To: chemistry@ccl.net
Message-Id: <00986139.4F03D0E0.13@stc150.kpt.emn.com>
Subject: Mac->DOS/Model(l)ing


> Would anyone on the net know how to read MAC files on
> a DOS/MSWindows PC?  The files were created on a MAC computer 
> using MS WORD 5.x.  Any pointers to commercial/public
> domain software will be greatly appreciated.  Many thanks.
I have both a Mac and a Windows PC in my office and do this regularly.

If you have access to a Mac with a 1.4 Mb Floppy (aka SuperDrive),
it can write a PC floppy.  Apple File Exchange can copy the Mac
file to the PC disk (use the "no translation" option).  I normally
use AccessPC to make DOS disks look just like Mac disks.  Note
that you do have to rename the file into the xxxxxxxx.xxx format
required by DOS.  Word for Windows 2.x or Word for Dos 6.x will
read the Mac Word 5.x document.  I do find, however, that RTF
translates a bit more reliably between Dos and Mac than either
of the native formats, so if you can, have your collaborator
save the files as RTF, rather than native format.

If you don't have a Mac available, life is more complex (in more
ways than one, but that's a whole 'nother religous debate ;-) ).  
At one point, there was a DOS product that enabled a DOS machine
to read a Mac floppy.  I don't know for sure, but I believe 
it was called MACMOUNT, or something such.  Folks on info-mac
would probably have a better recollection of such
(info-mac@sumex-aim.stanford.edu).

> modeling versus modelling.
At one point, I learned that the rule in English was that you
double a single final consonant when adding a suffix.  However,
my Word spelling dictionary says "modeled" and "modeling" are
correct, and my American Heritage dictionary lists the one ell
versions as the preferred spelling, with two ells as the secondary.
Finally, the last two papers I published in ACS journals had my
two ell spellings changed to one ell.  Relatively conclusive
evidence, I'd guess.

		Bruce Wilson (bewilson@emn.com)

From acklin@chbs.CIBA.COM  Mon Oct 17 12:21:46 1994
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Date: Mon, 17 Oct 94 16:24:29 +0100
From: acklin@chbs.CIBA.COM (Dr.Pierre Acklin)
Message-Id: <9410171524.AA22461@camm1.ph.chbs>
To: chemistry@ccl.net
Subject: summary iron calculation



Dear Netters,

	two weeks after the posting of my questions about calculating
iron complexes with ab initio or semiempirical methods to the list,
I'll summarise the answers I've got until now after the repetition of 
my original query.

	Many thanks to all of you who have replied.

>	I am trying to model iron complexes with round about 30 
> heavy atoms. Introducing special angular and torsional constraints
> into amber force field calculation in MacroModel leads to good 
> and reproducable geometry predictions. 
>	Geometry predictions are ok as they allow to discriminate 
> between molecules which can form chelate complexes and those, which 
> can't. Nevertheless it would be very helpful for the project, if 
> some kind of energy or stability predictions would be possible.
> This makes me ask you the following questions:

> Is it possible to treat iron complexes with more than 30 heavy
> atoms in an ab initio program like Gaussian in a reasonable time
> on a SGI workstation?

> Are there any basis sets and references therefore available to
> handel iron in Gaussian92 or DFT on a better level than sto-3g?

> How good are results of semi empirical calculations form Ampac 
> or Zindo in terrms of energy and geometry?

> I'll be glad to summarise the responses for the list.

*******************************************************************

Dear Dr. Acklin,

concerning your CCL-questions about iron complexes, we can offer you
the possibility to do your calculations on our
CRAY C90 supercomputer here at the University of Stuttgart, Germany.
The machine has 4 CPU's, 8 GBytes of main memory and much more than
100 GBytes of local disk space available.
Of course this is not for free, so we charge some small
amount per cpu-hour ( DM 300,- without service, DM 500,- including
service, doing batch-calculations with normal priority) for industrial
customers.

Best regards,
Heinz Poehlmann


 .-------------------------------------------------------------------------.
 | Dr. Heinz W. Poehlmann                     Regionales Rechenzentrum     |
 | Manager Applications Department            der Universitaet Stuttgart   |
 | Computational Chemistry Support            (University Computer Center) |
 | phone:   (49)-711-685-5992                 Allmandring 30               |
 | fax:     (49)-711-6787626                  D-70550 Stuttgart            |
 | e-mail:  poehlmann@rus.uni-stuttgart.de    Germany                      |
 '-------------------------------------------------------------------------'


************************************************************************

Dear Pierre,

it is always a question of time and precision...and symmetry of course!
My experience with ab initio calculations in this field is that they have
to be carried out at least at the MP2-level of theory (for first row
transition metals, heavier give reasonable geometries already on the HF
level!). MP2 usually increases computational time and hard disc require-
ment. See recent papers by Gernot Frenking for ab initio calculations
involving transition metals.
I got the impression that DFT makes it slightly easier to handle larger
TM complexes since electron correlation is always included while 
computational efford is comparable to HF calculations. There is a recent
review by Tom Ziegler covering this topic:
Tom Ziegler, Chem. Rev. 1991,91,651-657
I currently carry out DFT calculations on large metallocenes and the
results come in...
I have heard a lot about ZINDO, also on Iron complexes. Results looked
good, though I cannot tell anything about it. Look for papers by
Reinhold's group in (Leipzig, Halle, Magdeburg; sorry don't know 
exactly) and the original papers of course...
Finally there are still Extended Hueckel calculations. Hoffmann in 
Munich is a good reference for these....

Hope this helps,


John Lohrenz

-----------
John Lohrenz
Dept. of Chemistry
Univerity of Calgary
email: lohrenz@zinc.chem.ucalgary.ca


***********************************************************************

Dear Pierre

I have been doing calculations on organomettallic iron compounds of 
about 20 atoms (1 iron, 9-10 carbons, 2 oxygens, rest H). I was using 
STO-3G for geometry optimizations (there are a few problems with this 
of course) and something better for single points.

> This makes me ask you the following questions:
> 
> Is it possible to treat iron complexes with more than 30 heavy
> atoms in an ab initio program like Gaussian in a reasonable time
> on a SGI workstation?

If you're interested in single point, this should be no problem, 
depending on how much correlation you want to include. In GAMESS a 
single point calculation (78 basis functions) took about 12 minutes 
on a SGI Indego 2 (100MHx R4000). You may want to use Effective Core 
Potentials (ECP's) in your system.
> 
> Are there any basis sets and references therefore available to
> handel iron in Gaussian92 or DFT on a better level than sto-3g?

Yes you can check the papers by Marynick et al or use the predifined 
ones in the package.

D. S. Marynick et al, Organometallics, 1991, 10, 2816-2823 and refs therin.
> 
> How good are results of semi empirical calculations form Ampac 
> or Zindo in terrms of energy and geometry?

I tried ZINDO calculation on my systems, but got very strange 
structures forming (eg carbonyls were pulled off the metal and 
incorporated into a alkyl chain, forming a small ring system). I have 
a feeling it works better for coordination complexes, but no 
experience myself. It should be remembered that ZINDO's primary aim 
was the description of electronic transitions in Metal-Ligand systems 
(See Michael Zerner's work on Porphrins etc).

No experience with Ampac. Spartan, from Wavefunction inc is busy 
working on semi empirical parms for 1st row TM's.


Good Luck

Oliver
______________________________________________________________________
| Oliver Hill                        |                               |
| Department of Chemistry            | "The true scientist never     |
| University of Cape Town            |  loses the faculty of         |
| Rondebosch, 7700                   |  amazement. It is the essence |
| SOUTH AFRICA                       |  of his being."               |
| E-Mail:oliver@psipsy.uct.ac.za     |                 - HANS SELYE  |
|--------------------------------------------------------------------|
|                     Contact until 24 October 1994                |
|                                                                    |
| E-Mail: semper@dircon.co.uk        1 Belgrave Place                |
| Tel. +44-71-235-8197               London SW1X 8BU                 |
| Fax. +44-71-823-2112               UNITED KINGDOM                  |
|____________________________________________________________________|


**************************************************************************


 Dear Pierre,
    A good basis for iron, and other first transition series, is Wachter's
 as implemented in HONDO8.
  Yes you can run upto 30 atoms, SCF direct, using Gaussian, hopefully in
 less than 12 hours.
  No, you cannot use AMPAC for iron but I believe SAM1 has recently been
 parameterized and other semi-empirical codes include ZINDO (from BIOSYM) or
 MNDO-d (from W. Thiel, Zurich),
   Good luck,
      John Waite (chem8@vax.york.ac.uk)
 PS I would be interested in other transition metal bases.


********************************************************************

Hi!

I have been doing computations on  iron porphyrins with ADF, the
Amsterdam Density Functional program, on an INDIGO R4000  from SGI.
The performance is  pretty good and you get all the benefits
of DFT computations. Namely, almost MP2  quality for energetics.

Regarding DFT  in G92, I had a bit of a bad experience since the
guess for the density is based on a semiempirical HF computation,
a very bad guess for my high  spin system. Moreover, I could not
converge on  ROHF and use the density for G92/DFT.  I also had
to use the  finegrid as default, otherwise, the numerical integration
scheme would complaint.  Hence, I left DFT/G92 behind, but I remind
you  that some  of these  problems (i.e. the numerical  integration bit)
have been addressed through upgrades.

I am very  happy with ADF. It  has  recently been  upgraded to
give thermochemistry data and  many  of the features that  you
find  in G92.  Nevertheless, ADF still has  some way to go before
it can compete with G92, particularly regarding the variety of
functionals that you  get with G92.

Regarding  basis sets, ADF  comes with its own  suite  of
basis sets since it uses STO.  For G92 and similar programs
you are better off using ECP's. Check out the work by CUNDARI who
has done HF like computations with  ECP in several  transition metal
complexes. I give you  references below to some ECP's that CUNDARI
has used successfully  in  studying the energetics and geometries
of several tm complexes.

Finally,  I run  with  C4v  or D4h symmetry using a triple Z basis
set on the Fe and double Z with  polarization  on the light atoms.
Single point computations on a single user  R4000 SGI and ADF v. 1.0
take around 4-5 hrs. The newest version implements the DIIS algorithm
so convergence is much faster. I think this will make a big difference.


**************     

The following references should provide you with very recent ECP's for
most of the periodic table. The comments I have heard from those who
have used them are rather favorable (comments limited to energetics and
geometries, but recent work on spectroscopy by Garmer and Krauss is rather
impressive):

	Stevens et. al. J. Chem.Phys. 81 (12), Pt. II, 1984
	First and Second Row atoms

	Stevens et. al. Can. J. Chem. 70, 612, (1992)
	Third through Fifth row atoms. Some typos are known:

	Table 2: In RECP for second Vp-f component:
			-129.87594 should read -129.78594
	Table 4: Basis for Fe
			Cp term for 1sp should be -0.007940, not -0.07940
			asp term for 4sp should be 0.0410, not 0.410
	Table 7: Result for Be
			Eval with core a should read -1.01214, not -0.01214

	Cundari and Stevens J. Chem. Phys. 98 (7) 1993
	Lanthanides

I hope this is useful. These papers also discuss the variety of methods
available to generate ECP's, relativistic effects and references to ECP's
for DFT computations.

Good Luck
Gustavo A. Mercier, Jr.
mercie@cumc.cornell.edu

***********************************************************************


Dear Dr. Acklin,

  As you are aware (from your message)  our AMPAC program includes
the new SAM1 Hamiltonian which can treat iron systems.  We are
quite pleased with the results.  If you would like to provide a
test molecule or two, we would be happy to run it for you.  (A
set of cartesian coordinates would be best.)

  On another note, up until recently, your company owned a license to
AMPAC.  Heinrich Karfunkel elected to allow that license to lapse
because he disagreed with our licensing scheme.  Your New York
research site still owns a license, so we would be happy to provide you
with a second license at our very reduced rate if you find that
you need the program in Basel.

  Andy Holder

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
                    DR. ANDREW HOLDER
                   President, Semichem

Semichem, Inc.            ||  Internet Addr: aholder@vax1.umkc.edu
7128 Summit               ||  Phone Number:  (913) 268-3271
Shawnee, KS,  66216       ||  FAX Number:    (913) 268-3445
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=

==========================================
Dr.Pierre Acklin
CIBA-GEIGY AG
K-136.P.13
CH-4002 Basel         acklin@chbs.ciba.com
++41 61 696 23 62
++41 61 696 23 75
==========================================


From berkley@wubs.wustl.edu  Mon Oct 17 13:20:46 1994
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Date: Mon, 17 Oct 1994 12:04:58 -0500
From: "Mr. Berkley Shands" <berkley@wubs.wustl.edu>
Message-Id: <9410171704.AA02601@wubs.wustl.edu>
To: chemistry@ccl.net
Subject: More benchmarks
content-length: 5185


Receptor-III (TM - Tripos Associates) Release version V3.0 timings for the ACE
series. Uniform Radial Increments at 0.25 Angstroms. Modified Mode Adaptive Sampling.
Minimum scan factor 2.57 degrees, maximum scan factor 45.84 degrees, Average of 11.55.
Uniform grid resolution of 0.25A. Fully automated setup and processing applied.
Coordinates, torsions, and constraints calculated in double precision.

The dataset consists of 45 MOPAC/AM1 minimized molecules having an IC50 > 6.0.
All molecules pre-processed automatically for high energy conformer avoidance.
Smallest molecule had 5 variable torsions (1e07 max conformers).
Largest molecule had 19 variable torsions (1e27 max conformers).

*******************************************************************************
Benchmarks of the ACE series of 45 molecules IC50 > 6.0
*******************************************************************************


Elapsed Child_CPU System_CPU  Chargable Forks  Ratio
======= ========= ==========  ========= =====  =====

   1183   810.810     16.120    756.600     2  0.695 SGI Indigo 48Mb -O2 (R3K/33Mhz)
    383   736.120     27.810    670.770     5  1.979 SGI 4d/380s 4/8 128Mb -O2 (R3K/33Mhz)

    463   335.690      6.220    311.060     2  0.736 SGI Challenge M 96Mb -O2 (R4K/100Mhz)
    498   345.930      8.200    320.140     2  0.709 SGI Indigo2 64Mb -O2 (R4K/50Mhz)

    345   293.183      5.017    249.233     2  0.870 AXP 3K/300 Std CC -O2 32mb V3.0
    311   263.700      4.233    222.033     2  0.870 AXP 3K/300 Gem CC -O4 32Mb V3.0
    431   242.817      4.983    201.317     2  0.581 AXP 3K/400 Gem CC -O4 64Mb V2.0
    418   242.267     10.983    200.150     2  0.590 AXP 3K/300 Gem CC -O4 32Mb V2.0
    181   188.800      3.317    160.167     3  1.073 AXP 2100-5 2/4 Gem CC -O4 128Mb V2.0
    113   100.533      1.300     84.333     2  0.906 AXP 3K/900 Gem CC -O4 512Mb 275Mhz V3.0


Notes:

Street value for the above machines:

AXP 3K/900 $45K, AXP 2100-500 (4cpu) $60K ($100K Loaded)
AXP 3K/300 $4k (used) $8K (new)
AXP 3K/400 $10K
SGI Indigo $12K, Indigo2 $15K, Challenge M $20K
SGI 4d/380 ($150K new) $15K today used.
ALL machines should have at least 64Mb, with the AXP 2100-500 at 128Mb minimum.
The greatly effects the SGI price upward.
No SGI R8000 (TFP) timings are available, but at $500K, it doesn't seem
worthwhile :-)

All SGI machines ran IRIX 5.2 except the Indigo2 at 4.0.5

The "GEM" compiler is in save set DECC on the OSF/1 CD at V3.0.
          (cc -migrate; requires CMPDEVENH and OTABASE at V2.0)
The "STD" compiler is the default "CC" for OSF/1.

"Child_CPU"  is the recorded total CPU for all forked processes, including
	     overhead and I/O.
"Elapsed"    is the recorded elapsed time from command line parsing to
	     the exit of the last child processes.
"System_CPU" is the recorded UNIX system overhead from the times() function
"Chargable"  is the algorithmic chargable time from initial rotations
	     to termination (child process CPU)

*****************************************************************************
	CPU benchmarking for current architectures September 1994.
	Software is an analytic ring closure 
        Multiprocessor test suite

	"Elapsed" is the wall clock time.
        "Child_CPU" is the total CPU over all forks.
	"System_CPU" is measured system overhead.
	"Conformers" are stericly allowed conformers.
                     (of the last molecule processed)
	"Forks" is the number of fork() system calls.
        "Ratio" is Child_CPU / Elapsed
        "Ovhd/Fork" is the System_CPU / Forks.

pentcrys (cyclic pentapeptide with distance constaints)
cyclooctane - cycloalkane with hydrogens.

*** Single Threaded Application - Ringsearch ***

DEC Alpha 3000/900 (275Mhz 512Mb OSF1 V3.0) Uniprocessor
Elapsed Child_CPU System_CPU  Conformers
    455   452.650      0.533        1515

DEC alpha 2100 - 1/4 cpu (128 Mb OSF1 V3.0) Multiprocessor
Elapsed Child_CPU System_CPU  Conformers
    731   729.700      0.100        1515

wubs2 DEC Alpha AXP 3000/300 (32MB OSF1 V3.0) Uniprocessor
Elapsed Child_CPU System_CPU  Conformers
   1261  1243.317      1.967        1515

sgi 4d/380 1/8 cpus (128Mb IRIX 5.2) Multiprocessor
Elapsed Child_CPU System_CPU  Conformers
   3738  3747.350     22.680        1515



************ Multisearch (multi-threaded ringsearch) *****************

DEC Alpha 3000/900 (275Mhz 512Mb OSF1 V3.0) Uniprocessor
Elapsed Child_CPU System_CPU  Conformers Forks  Ratio Ovhd/Fork
    460   453.217      1.350        1515   353  0.985 0.003824

DEC alpha 2100 - 4/4 cpu (128 Mb OSF1 V3.0) Multiprocessor
Elapsed Child_CPU System_CPU  Conformers Forks  Ratio Ovhd/Fork
    195   753.717      1.833        1515   353  3.865 0.005194


sgi 4d/380 (128Mb IRIX 5.2) 4/8 cpus 
Elapsed Child_CPU System_CPU  Conformers Forks  Ratio Ovhd/Fork
    973  3813.390     42.180        1515   353  3.919 0.119490


sgi 4d/380 (128Mb IRIX 5.2) 8/8 cpus 
Elapsed Child_CPU System_CPU  Conformers Forks  Ratio Ovhd/Fork
    549   4012.360     54.070        1515   353  7.308 0.153173


*************** Comments **************

IRIX throughput dropped a great deal going from 4.0.5 to 5.2
>From 7.9x down to 7.3x :-(


From A.W.J.Smith@reading.ac.uk  Mon Oct 17 14:20:50 1994
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          with SMTP - Local (PP); Mon, 17 Oct 1994 19:20:17 +0100
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Date: Mon, 17 Oct 1994 19:20:11 +0100 (BST)
From: "Andy W. J. Smith" <A.W.J.Smith@reading.ac.uk>
X-Sender: scrasmit@suma1
To: chemistry@ccl.net
Subject: AMoO4 parameters
Message-Id: <Pine.SUN.3.90a.941017191534.4790A-100000@suma1>
Mime-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII


Hi,
Does any one know of any published parameters (LJ, Buckingham,shell 
etc) to model the crystal structures of the AMoO4 molybdate 
compounds.(where A=Co,Mn,Ni)
Any suggestions welcomed.

 thanks, ANDY
 


@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
                          Andrew W.J. Smith                            

 Department of Chemistry,                                 
 University of Reading               
 Whiteknights,                      
 Reading,                         Phone: 44 (0)734-875123 ex 7441 or 4195
 Berkshire,                       Email:  A.W.J.Smith@rdg.ac.uk
 RG6 2AD, UK.                     Fax  : 44 (0)734- 311610              

             *  email is most likely to get to me first *
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@


From lagunez@redvax1.dgsca.unam.mx  Mon Oct 17 16:20:48 1994
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From: lagunez@redvax1.dgsca.unam.mx (Lagunez Otero Jaime-IQ)
Sender: lagunez@redvax1.dgsca.unam.mx
To: chemistry@ccl.net
Subject: methylation



I am interested in quantum chemical calsculations of
DNA methylation - do you have any information?
	Thank-you.
             Jaime Lagunez, PhD

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Message-Id: <9410171921.AA06848@cyclone.ERE.UMontreal.CA>
To: haney@netcom.com
Cc: CHEMISTRY@ccl.net, amber@cgl.ucsf.edu, charmm-bbs@emperor.harvard.edu
In-Reply-To: <199410142205.PAA18950@netcom6.netcom.com> (haney@netcom.com)
Subject: Re: CCL:Help on SHAKE constraints



   I wish to ask about the use of constraints like SHAKE in molecular
   dynamics.  What are the reasons that one would use SHAKE?  What are
   the deficiencies of SHAKE?  When SHAKE (or the like) is used and you
   experience problems: 1)What are the symptoms of "failure"?, 2)Under
   what conditions does this failure occure? and 3)What is the workaround
   for this failure?

When doing MD simulations, you want to make your time step as big as
possible. However, you must make them small enough to sample correctly
the fastest motions in your system, which are typically bond vibrations.
The idea behind constraints is to eliminate the fastest motions by
simply fixing some internal coordinates (like bond lengths). Once
they are fixed, there are no more fast motions, and you can increase
you time steps.

Of course this means that you are simulating a different system. Some
physical quantities will change as a consequence of introducing
constraints; an obvious example are bond length fluctuations, which
become zero. But if the eliminated degrees of freedom are sufficiently
well uncoupled from the remaining ones, you still get accurate
results for the quantities you are really interested in.

Some people dislike the use of constraints, arguing that since
real molecules do not have these constraints, the simulation shouldn't
have them either. To me, this is not at all obvious. Any MD
simulation makes some rather drastic simplifying assumptions;
the most obvious one is the use of classical mechanics instead
of quantum mechanics. Whether or not to use constraints is simply
part of a definite model, just as the choice of this or that
force field. Whether a model is good or bad needs to be tried
out. Unfortunately, there have been next to no systematic studies
on the effect of constraints on the interesting quantities in
real systems. It should be kept in mind that using a larger
time step not only reduces cost, but also roundoff errors, so
the results might iin some respect get better by using constraints.

If you decide to use constraints, you have to get suitable
equations of motion for the constrained system. There are
two well-established methods from classical mechanics:
1) Add the constraints to the unconstrained equations of
   motion using Lagrange multipliers.
2) Introduce new coordinates that automatically satisfy the
   constraints.
In theory both methods are equivalent, but of course not
in numerical applications. If you follow the first approach,
you have to solve the problem that the constraints are
satisfied only for infinite time steps. To get them exactly
satisfied, you have to solve the constraint equations explicitly
for a finite time step. You then get a set of quadratic equations,
which has to be solved iteratively. This is exactly what SHAKE
does. And that also explains how it might fail: There is no
way to prove that the iteration converges, and sometimes it
doesn't. Most implementations simply stop after some number
of iterations. I have been told that the "solution" is simply
to make a few steps without SHAKE and then go on as if nothing
had happened.

The second approach has rarely been tried, probably it looks
more complicated at first glance. However, it is possible
to derive general equations of motion with just a few types
of motion (translation and some kinds of rotation), and it
is possible to let the computer find these coordinates
automatically. The advantage is that you needn't worry
about the exactness of your constraints. Another advantage
is that you can treat a much wider range of constraints
(rigid subgroups, planar molecules, etc.) Besides, the
coordinates themselves may prove useful for analysis of
the simulation results.
On the other hand, there is a price to pay: you get 
velocity-dependent forces (Coriolis and centrifugal
forces), and the implementation is a bit more
complicated.
If you are interested in this approach, have a look at
the paper "Generalized Euler equations for linked rigid
bodies", by G. Kneller and K. Hinsen, in the September
issue of Phys. Rev. E. It contains the derivation of
the general equations of motion. We will publish something
on the implementation and some results soon.

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Konrad Hinsen                     | E-Mail: hinsenk@ere.umontreal.ca
Departement de Chimie             | Tel.: +1-514-343-6111 ext. 3953
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From bak@isadora.albany.edu  Mon Oct 17 22:20:52 1994
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From: bak@isadora.albany.edu (Brian A. Kell)
Message-Id: <9410180125.AA20995@isadora.albany.edu>
Subject: Re: CCL:More benchmarks
To: berkley@wubs.wustl.edu (Mr. Berkley Shands)
Date: Mon, 17 Oct 94 21:25:49 EDT
Cc: chemistry@ccl.net
In-Reply-To: <9410171704.AA02601@wubs.wustl.edu>; from "Mr. Berkley Shands" at Oct 17, 94 12:04 pm
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> [...]
> Street value for the above machines:
> [...]
> No SGI R8000 (TFP) timings are available, but at $500K, it doesn't seem
> worthwhile :-)

Excuse me?  There are R8000 machines available for substantially less
than $500K.  An R8000-based Power Indigo2 is not too much more than an
R4400-based Indigo2.

brian

------------------------------------------------------------------
Brian Kell                                          bak@biosym.com
Scientific Support Manager, Eastern Region     Tel. (518) 482-1436
Biosym Technologies, Inc.                      Fax. (518) 482-5433
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