The Gaussian Approximation Potential : An Interatomic Potential Derived from First Principles Quantum Mechanics
Simulation of materials at the atomistic level is an important tool in studying microscopic structures and processes. The atomic interactions necessary for the simulations are correctly described by Quantum Mechanics, but the size of systems and the length of processes that can be modelled are still...
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| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2010. |
| Serija: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| Edition sous un autre format: | • The gaussian approximation potential, an interatomic potential derived from first principles quantum mechanics, by Albert Bartók-Pártay., Berlin, Heidelberg, Springer, 2010, 1 vol. (88 p.), Springer Theses, 978-3-642-14066-2 |
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| 245 | 1 | 0 | |a The Gaussian Approximation Potential : |b An Interatomic Potential Derived from First Principles Quantum Mechanics |c by Albert Bart´k-Pártay. |
| 250 | |a 1st ed. 2010. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
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| 505 | 1 | |a Representation of Atomic Environments Gaussian Process Interatomic Potentials Computational Methods Results Conclusion and Further Work Appendices. | |
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| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Simulation of materials at the atomistic level is an important tool in studying microscopic structures and processes. The atomic interactions necessary for the simulations are correctly described by Quantum Mechanics, but the size of systems and the length of processes that can be modelled are still limited. The framework of Gaussian Approximation Potentials that is developed in this thesis allows us to generate interatomic potentials automatically, based on quantum mechanical data. The resulting potentials offer several orders of magnitude faster computations, while maintaining quantum mechanical accuracy. The method has already been successfully applied for semiconductors and metals. | ||
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