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Date: Wed, 15 Dec 2004 09:13:33 +0100
From: Andreas Klamt <klamt[at]cosmologic.de>
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To: Jan K Labanowski <jlabanow[at]nd.edu>
Cc: chemistry[at]ccl.net, rbross[at]mmm.com
Subject: Re: CCL:Champions of 2nd Industrial Fluid Properties Simulation Challenge
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Dear Colleagues,

my congratulations to the winners of the 2IFPSC.

Just for completion: The press release does not mention the
Comparison with Other State-of-the-Art Methods 
which was part of the announcement (see http://www.fluidproperties.org ) 
of the contest. Being winners of the Vapor-Liquid-Equilibria part of 
the  first IFPSC with my COSMO-RS method, we had to contribute as "Other 
State-of-the-Art Method" this time, because "interatomic forces" were 
required for "Molecular Simulations" this time, while we only deal with 
interaction energies based on quantum chemical calculations.

Since the problem sets given this time were routine applications for our 
COSMOtherm program, we contributed in all 3 problem sets. At least in 
one of the parts we performed much better than the teams using 
force-field based molecular simulations. For the other parts we are 
lacking a systematic comparison, but we achieved reasonable agreement 
with the experimental data there as well.

It would be nice to know whether there were additional "Other 
State-of-the-Art Methods" and how they performed.

Regards

Andreas Klamt




Jan K Labanowski wrote:

>Dear Colleagues,
>
>      The  2nd Industrial Fluid Properties Simulation Challenge has now
>been completed and the champions have been determined.   Awards were
>presented in a special session at the Fall National AIChE meeting in Austin
>in November.   Could you please find all the details in the attached Press
>Release.   In behalf of the NIST and Industrial organizing committee, I
>would like to thank all who participated in this effort to further the
>development of simulation methods to predict industrially relevant
>properties.
>
>With kindest regards,
>Rick Ross
>3M Company
>rbross[at]mmm.com
>=====================================================
>CHAMPIONS ANNOUNCED IN THE SECOND INDUSTRIAL FLUID PROPERTIES
>SIMULATION CHALLENGE
>
>
>FOR IMMEDIATE RELEASE
>Contact: Fiona Case
>Phone:  (802) 879-3684
>Email: Fiona[at]casescientific.com
>
> Scientists and engineers from 3M, BP, Dow Chemical, DuPont,
>ExxonMobil, Mitsubishi Chemical, and NIST challenged the molecular
>modeling community to predict physical properties of industrially
>relevant fluid systems. Contest entrants presented their work, the
>champions were announced, and prizes awarded, during a special
>session at the AIChE Annual Meeting in Austin, TX. November 7, 2004
>
>Academic groups, research laboratories, and scientific software
>companies from around the world were given just over a year to
>develop methods for predicting vapor pressures and heats of
>vaporization, gas solubility, and enthalpies of mixing for materials
>specified by the contest committee. Working in secret, scientists at
>NIST and Dow Chemical obtained accurate experimental measurements of
>these properties, which were used to judge the predictions made by
>the contest entrants.
>
>"The organizing committee managed to raise interest from around the
>globe," commented Philippe Ungerer, Institut Frangais du Pitrole
>(IFP), France, whose team won the overall "best in show" prize.
>"There were entries from almost every continent, including China,
>Japan, and from three countries in Europe," he observed.
>
>This second Industrial Fluid Properties Simulation Challenge, which
>was organized in conjunction with both the American Institute of
>Chemical Engineers (AIChE) Computational Molecular Science and
>Engineering Forum, and the Theoretical Subdivision of the American
>Chemical Society (ACS) Physical Chemistry Division, was held to
>obtain an in-depth and objective assessment of current capabilities
>for the prediction of fluid properties, and to promote the use of
>molecular modeling in this area. Molecular simulation has been
>identified as a promising technology for predicting materials
>properties in the Vision 2020 Roadmap for the Chemical Industry.
>
>The problems were closely focused on properties that are
>industrially relevant. There were three sections. The first section
>challenged entrants to predict vapor pressures and heats of
>vaporization for two different materials.  "The heat of vaporization
>is an important property in the design of heat exchangers and other
>chemical process units," says Jim Olson of Dow Chemical, Midland,
>MI, USA "There are a growing number of chemicals whose vapor
>pressures and heats of vaporization need to be determined outside
>the range of ordinary apparatus. Molecular simulation could offer an
>attractive alternative to these difficult laboratory measurements."
>
>The second section challenged molecular modelers to predict the
>solubility of gases in liquids - dissolved gases are a key component
>of many industrial chemical processes. The last section involves the
>prediction of heats of mixing for an amine in both hydrocarbon oil,
>and in water, over a range of concentrations at different
>temperatures. "One of the premier challenges for modeling thermal
>separation processes (e.g. absorption, distillation, extraction) is
>the ability to describe activity coefficients over the whole
>concentration and temperature range with sufficient accuracy" says
>Martin Schiller of DuPont, Germany.
>
>"We were pleased with the level of entries this year," says Raymond
>Mountain, NIST, chairman of the organizing committee. "The contest
>provides a useful comparison between a number of different molecular
>modeling approaches, and some were clearly more successful than
>others," he noted.
>
>In the first two problem sets (the prediction of vapor pressures and
>heats of vaporization and the prediction of the solubility of gases
>in liquids) the various atomistic simulation methods did a fairly
>good job, and the best of the predictions were in reasonable
>agreement with the experimental data. The first problem set was won
>by Professor Richard Elliott and his students from the Department of
>Chemical Engineering at the University of Akron. The second problem
>set was won by Professor Jeffrey Errington and his students from the
>Department of Chemical and Biological Engineering, University of Buffalo, NY.
>
>The last section (prediction of enthalpies of mixing) was won by
>Professor Huai Sun and his students from the School of Chemistry and
>Chemical Technology at Shanghai Jiao Tong University, Shanghai,
>China. "This was certainly the most challenging of the problems, and
>we particularly appreciated the two groups that were brave enough to
>enter their results," commented Fiona Case, Case Scientific, a
>member of the IFPSC organizing committee. "The results showed that
>we have some way to go before atomistic simulation methods can be
>routinely used for predictions of miscibility, particularly for
>aqueous solutions." Sun's group was one of two who entered all three
>sections of the contest, using the same method and forcefields to
>predict all the different materials properties. "This is important,
>since it reflects the way that modeling methods are actually used in
>industry," commented Case. "These two groups really entered into the
>spirit of the contest, and it was encouraging to see them obtain
>reasonably good results across the different materials properties."
>
>The other group which entered all three sections was a European
>collaboration involving researchers from Institut Frangais du
>Pitrole (IFP), France; Universiti Paris-Sud, France; Universitat
>Rovira i Virgili, Tarragona, Spain; and the Commissariat a l'Energie
>Atomique in France. This group, headed by Philippe Ungerer, obtained
>the best overall score and was awarded the "best in show."
>
> "Normally you wouldn't see several different groups trying to
>predict the same physical properties," commented Anne Chaka, NIST.
>"But, this is important if we are to obtain an accurate assessment
>of the current capabilities of atomistic scale simulation."
>
>
>"One of the great things about this contest," commented Joe Golab,
>BP Chemicals "is that people were showing results that weren't
>particularly good. We wouldn't usually see those results, but it is
>important for industry to know what works and what doesn't."
>
>Further information:
>The entries will be published in a special edition of the journal
>Fluid Phase Equilibria, along with details of the evaluation of the
>"recommended values" for each materials property in the contest.
>The IFPSC web site: http://www.fluidproperties.org
>
>
>
>
>
>
>
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>-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
>
>
>
>
>
>
>
>  
>


-- 
--------------------------------------------------------------------------------
Dr. Andreas Klamt
COSMOlogic GmbH&CoKG
Burscheider Str. 515
51381 Leverkusen, Germany

Tel.: +49-2171-73168-1  
Fax:  +49-2171-73168-9
e-mail: klamt[at]cosmologic.de
web:    www.cosmologic.de
--------------------------------------------------------------------------------
COSMOlogic
        Your Competent Partner for
        Computational Chemistry and Fluid Thermodynamics
--------------------------------------------------------------------------------




From chemistry-request@ccl.net Wed Dec 15 11:13:32 2004
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To: "Drabik, Piotr" <Piotr.Drabik-.at.-nrc-cnrc.gc.ca>
Cc: "'chemistry-.at.-ccl.net'" <chemistry-.at.-ccl.net>,
   "Computational Chemistry List" <chemistry-request-.at.-ccl.net>
Subject: Re: CCL:software for supramolecule building and optimization
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Date: Wed, 15 Dec 2004 17:28:58 +0100
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Dear Mr, Drabik,


At microscopic level: Materials and Processes Simulations (MAPS) platform 
of Scienomics (www.scienomics.com).


At mesoscopic level: AlCove (www.molecular-dynamics.de).


Or Material Studio of Accelrys for both (but it does not give you the best 
performance/price ratio).

Best regards,

Dr. Andras Borosy
Seniour Scientist
Delivery Systems, Fragrance Research
Givaudan Schweiz AG
Ueberlandstr. 138
8600 D|bendorf
Switzerland
tel: + 41-1-8242164
fax: +41-1-8242926
e-mail: andras.borosy-.at.-givaudan.com






"Drabik, Piotr" <Piotr.Drabik-.at.-nrc-cnrc.gc.ca>
Sent by: "Computational Chemistry List" <chemistry-request-.at.-ccl.net>
14.12.2004 22:53

 
        To:     "'chemistry-.at.-ccl.net'" <chemistry-.at.-ccl.net>
        cc: 
        Subject:        CCL:software for supramolecule building and optimization


Dear CCL'ers, 
does anyone have any suggestions of a code able to: 
(a) build a supramolecule; say, a nanotube or multimeric protein (given 
the structure of monomer and symmetry data) and 
(b) optimize/relax it with a solvation model (including explicit or 
implicit counterions)? 
list of pros and cons (open source/commercial; GUI; ease of building a 
supramolecular object; robustness of electrostatics treatment, etc.) and 
users' opinions & experiences independent of companies' claims would be 
appreciated.
thanks, 
piotr 





From chemistry-request@ccl.net Wed Dec 15 10:04:58 2004
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I've tried to run Gaussian 03 calculations on U-compounds using G03, but 
cannot  come up with a basis set that seems to work.
The G03 manual seems to imply that only
the SDD pseudopotential will work, but I cannot figure out the number of 
core electrons compatible with this pseudopotential and U.
Also, I've come across a paper that used cc-pVDZ and cc-pVTZ basis sets,
but using the
# opt b3lyp/Gen Pseudo=Read
gives an error that the atomic number is outside of the range of this basis 
set (in agreement with the G03 manual).

Is there some way to use cc-pVTZ on U or what number of core electrons is 
appropriate for the SDD pseudopotential?

James Kubicki
308 Deike Bldg.
Dept. of Geosciences
The Pennsylvania State University
University Park, PA 16802
814-865-3951
814-863-8724 (Fax)



From chemistry-request@ccl.net Wed Dec 15 19:08:26 2004
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We are pleased to announce the fifth year for the Computational 
Chemistry and Material Science (CCMS) Summer Institute at the Lawrence 
Livermore National Laboratory (LLNL).

The goal of the Summer Institute is to provide an opportunity for 
graduate students to explore and learn some of the cutting-edge methods 
in computational materials sciences, computational chemistry, and other 
related areas of computational science during their first few years of 
graduate study.  Each student will spend ten weeks at LLNL as the guest 
of an LLNL host scientist working on a computational project in the 
host's area of expertise. In addition, computational science leaders 
> from universities and laboratories around the country will present a 
series of mini-courses for the fellows.  These courses will cover 
state-of-the-art and emerging computational methods in materials 
science and chemistry, while student fellows focus on the practical 
aspects of their numerical implementation. The lecture program covers 
topics of current interest, such as computational nanoscience, 
computational chemistry, computational simulation of materials based on 
coarse graining and multi-scale modeling, to name a few.

Over the past several years, scientists at LLNL have developed unique 
mathematical algorithms and computer codes intended to make best use of 
the unmatched capabilities of massively parallel tera-scale computing 
established at LLNL. These new capabilities make it possible to model 
material properties and behaviors with unmatched realistic complexity, 
using predictive computer models.  This new paradigm has created a 
great deal of excitement in the computational science community.  At 
the same time, it presents new scientific challenges and calls for new 
computational approaches that will be the focus of this Summer 
Institute.

Summer fellows will be selected from among an open pool of applicants 
who have demonstrated a strong interest in computational sciences, 
especially materials science and chemistry.  The Institute will run 
> from June 8 to August 16, 2005.  Travel funds and a generous stipend 
will be provided to the participants.  In order to be considered, 
prospective participants need to fill out the interest form at our 
website:

http://www-cms.llnl.gov/ccms_summer_inst/

The application deadline is January 14, 2005.

Attached you will find a PDF version of our color poster announcement. 
Please bring this announcement to the attention of graduate students 
that you feel would benefit from the experience of hands-on research in 
computational chemistry and materials science, working with leading 
researchers at a national laboratory.

More details about the institute can be found on the institute website. 
Please direct any additional inquiries to the administrator for the 
summer institute at summer.institute[at]llnl.gov

Andrew Williamson
Academic Director, CCMS Summer Institute
williamson10[at]llnl.gov

Mike McElfresh
Director, CCMS Summer Institute
mcelfresh1[at]llnl.gov



From chemistry-request@ccl.net Wed Dec 15 19:31:37 2004
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On Wednesday 15 December 2004 09:28, andras.borosy[at]givaudan.com wrote:
> At microscopic level: Materials and Processes Simulations (MAPS) platform
> of Scienomics (www.scienomics.com).
> Or Material Studio of Accelrys for both (but it does not give you the best
> performance/price ratio).

How can you tell?  While the snapshots on the Scienomics website do look nice 
I don't see any information about
1) What simulation/quantum codes are actually contained in the MAPS package?
2) How much it costs to purchase MAPS?
3) Exactly which analysis tools are already implemented in this interface?

Is this product really available?  The only mention of release dates that I 
found is strictly in the future tense
"pleased to announce that it will be releasing the first version of its 
platform for Materials and Processes Simulations (MAPS) in fall 2004"

If anyone out there has the answers to these questions I would be quite 
interested in hearing them as I have been looking for a good interface to 
wrap around my Monte Carlo code, but have been disappointed by other folks 
making similar claims in the past.

thanks,

Marcus
-- 
Marcus G. Martin
Senior Member of Technical Staff
Computational Materials and Molecular Biology
Sandia National Laboratories
PO Box 5800 MS 1110
Albuquerque NM 87185-1110
v. 505 284-6355
f. 505 845-7442 
http://www.cs.sandia.gov/marcusmartin/
http://towhee.sourceforge.net




