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Frozen-Density Embedding for including ...
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Document type :
Article dans une revue scientifique
DOI :
10.1021/acs.jctc.2c00499
Title :
Frozen-Density Embedding for including environmental effects in the Dirac-Kohn-Sham theory: an implementation based on density fitting and prototyping techniques
Author(s) :
De Santis, Matteo [Auteur]
Physico-Chimie Moléculaire Théorique [PCMT]
Sorbelli, Diego [Auteur]
Istituto di Scienze e Tecnologie Chimiche “Giulio Natta” [SCITEC]
Vallet, Valérie [Auteur] refId
Physico-Chimie Moléculaire Théorique [PCMT]
Severo Pereira Gomes, Andre [Auteur] refId
Physico-Chimie Moléculaire Théorique [PCMT]
Storchi, Loriano [Auteur correspondant]
Istituto di Scienze e Tecnologie Chimiche “Giulio Natta” [SCITEC]
Belpassi, Leonardo [Auteur correspondant]
Istituto di Scienze e Tecnologie Chimiche “Giulio Natta” [SCITEC]
Journal title :
Journal of Chemical Theory and Computation
Pages :
5992–6009
Publisher :
American Chemical Society
Publication date :
2022-10-11
ISSN :
1549-9618
HAL domain(s) :
Chimie/Chimie théorique et/ou physique
Physique [physics]/Physique [physics]/Chimie-Physique [physics.chem-ph]
English abstract : [en]
The Frozen Density Embedding scheme represents an embedding method in which environmental effects onto a given subsystem are included by representing the other subsystems making up the surroundings quantum mechanically, ...
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The Frozen Density Embedding scheme represents an embedding method in which environmental effects onto a given subsystem are included by representing the other subsystems making up the surroundings quantum mechanically, by means of their electron densities. In the present paper, we extend the full 4-component relativistic Dirac-Kohn-Sham method, as implemented in the BERTHA code, to include environmental and confinement effects with the FDE scheme. This implementation has been enormously facilitated by BERTHA's python API (PyBERTHA), which provides a flexible framework of development by using all Python advantages in terms of code re-usability, portability while facilitating the interoperability with other FDE implementations available through the PyADF framework. The computational performance has been evaluated on a series of gold clusters (Au$_n$, with n=2,4,8) embedded into an increasing number of water molecules (5, 10, 20, 40 and 80 water molecules). We found that the procedure scales approximately linearly both with the size of the frozen surrounding environment (in line with the underpinnings of the FDE approach) and with the size of the active system (in line with the use of density fitting). Finally, we applied the code to a series of Heavy (Rn) and Super-Heavy elements (Cn, Fl, Og) embedded in a C_60 cage to explore the confinement effect induced by C_60 on their electronic structure. We compare the results from our simulations with more approximate models employed in the atomic physics literature, in which confinement is represented by a radial potential slightly affected by the nature of the central atom. Our results indicate that the specific interactions described by FDE are able to improve upon the cruder approximations currently employed, and thus provide a basis from which to generate more realistic radial potentials for confined atoms.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
ANR Project :
Physiques et Chimie de l'Environnement Atmosphérique
ULNE
Comment :
53 pages, 7 Figures
Collections :
  • Laboratoire de Physique des Lasers, Atomes et Molécules (PhLAM) - UMR 8523
Source :
Harvested from HAL
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