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  i-PI 2.0: A universal force engine for advanced molecular simulations

Kapil, V., Rossi, M., Marsalek, O., Petraglia, R., Litman, Y., Spura, T., et al. (2019). i-PI 2.0: A universal force engine for advanced molecular simulations. Computer Physics Communications, 236, 214-223. doi:10.1016/j.cpc.2018.09.020.

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1808.03824.pdf (Preprint), 5MB
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arXiv:1808.03824v2 [physics.chem-ph] 17 Sept 2018
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 Creators:
Kapil, Venkat1, Author
Rossi, Mariana2, Author           
Marsalek, Ondrej3, 4, Author
Petraglia, Riccardo1, Author
Litman, Yair2, Author           
Spura, Thomas5, Author
Cheng, Bingqing1, Author
Cuzzocrea, Alice1, Author
Meißner, Robert H.1, Author
Wilkins, David M.1, Author
Helfrecht, Benjamin A.1, Author
Juda, Przemysław1, Author
Bienvenue, Sébastien P.1, Author
Fang, Wei6, Author
Kessler, Jan5, Author
Poltavsky, Igor7, Author
Vandenbrande, Steven8, Author
Wieme, Jelle8, Author
Corminboeuf, Clemence9, Author
Kühne, Thomas D.5, Author
Manolopoulos, David E.10, AuthorMarkland, Thomas E.3, AuthorRichardson, Jeremy O.6, AuthorTkatchenko, Alexandre2, Author           Tribello, Gareth A.11, AuthorVan Speybroeck, Veronique8, AuthorCeriotti, Michele1, Author more..
Affiliations:
1Laboratory of Computational Science and Modeling, Institute of Materials, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland, ou_persistent22              
2Theory, Fritz Haber Institute, Max Planck Society, ou_634547              
3Department of Chemistry, Stanford University, Stanford, CA, 94305, USA, ou_persistent22              
4Charles University, Faculty of Mathematics and Physics, Ke Karlovu 3, 121 16 Prague 2, Czech Republic, ou_persistent22              
5Department of Chemistry and Center for Sustainable Systems Design, University of Paderborn, Warburger Str. 100, D-33098 Paderborn, Germany, ou_persistent22              
6Laboratory of Physical Chemistry, ETH Zurich, 8093 Zurich, Switzerland, ou_persistent22              
7Physics and Materials Science Research Unit, University of Luxembourg, L-1511, Luxembourg, ou_persistent22              
8Center for Molecular Modeling, Ghent University, 9052 Zwijnaarde, Belgium, ou_persistent22              
9Laboratory for Computational Molecular Design, Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland, ou_persistent22              
10Physical and Theoretical Chemistry Laboratory, South Parks Road, Oxford OX1 3QZ, United Kingdom, ou_persistent22              
11Atomistic Simulation Centre, School of Mathematics and Physics, Queen’s University Belfast, Belfast, BT7 1NN, United Kingdom, ou_persistent22              

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 Abstract: Progress in the atomic-scale modeling of matter over the past decade has been tremendous. This progress has been brought about by improvements in methods for evaluating interatomic forces that work by either solving the electronic structure problem explicitly, or by computing accurate approximations of the solution and by the development of techniques that use the Born–Oppenheimer (BO) forces to move the atoms on the BO potential energy surface. As a consequence of these developments it is now possible to identify stable or metastable states, to sample configurations consistent with the appropriate thermodynamic ensemble, and to estimate the kinetics of reactions and phase transitions. All too often, however, progress is slowed down by the bottleneck associated with implementing new optimization algorithms and/or sampling techniques into the many existing electronic-structure and empirical-potential codes. To address this problem, we are thus releasing a new version of the i-PI software. This piece of software is an easily extensible framework for implementing advanced atomistic simulation techniques using interatomic potentials and forces calculated by an external driver code. While the original version of the code (Ceriotti et al., 2014) was developed with a focus on path integral molecular dynamics techniques, this second release of i-PI not only includes several new advanced path integral methods, but also offers other classes of algorithms. In other words, i-PI is moving towards becoming a universal force engine that is both modular and tightly coupled to the driver codes that evaluate the potential energy surface and its derivatives.

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Language(s): eng - English
 Dates: 2018-09-062018-05-032018-09-142018-10-102019-03
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cpc.2018.09.020
 Degree: -

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Title: Computer Physics Communications
  Abbreviation : Comput. Phys. Commun.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier B.V.
Pages: 10 Volume / Issue: 236 Sequence Number: - Start / End Page: 214 - 223 Identifier: ISSN: 0010-4655
CoNE: https://pure.mpg.de/cone/journals/resource/954925392326