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Transcript
Systematic improvement of the correlation energy of solids and
molecules within the ACFDT
Directeur de thèse : Janos Angyan Adel : [email protected] Unité: UMR 7036 Co‐directeur de thèse : Dario Rocca Adel: dario.rocca@univ‐lorraine.fr Unité: UMR 7036 Quantum mechanics provides a comprehensive description of the properties of
matter at the atomic scale. Accordingly, the Schrödinger equation could be used as
a powerful tool to predict and interpret the properties of materials of technological
interest or biological systems, for example. However, the precious information
contained in this equation can be hardly extracted even for few electrons. The main
theoretical/computational challenge in the solution of the Schrödinger equation is the
accurate and efficient evaluation of the correlation part of the energy for realistic
many-electron systems. The development of density functional theory constitutes a
major breakthrough toward the solution of the many-body problem: The fully
interacting electronic system is mapped into a non-interacting Schrödinger equation
with the same electronic density, leading to a considerable
computational
simplification. While DFT provides rather accurate results for several molecular and
extended systems, the “semi-empirical” approximations used for the exchange and
correlation functional fail systematically to treat certain classes of problems, such as,
e.g., the weakly interacting systems. The adiabatic connection fluctuation and
dissipation (ACFDT) theorem represents a promising way to systematically improve
the precision of DFT. Until now, this approach has been mostly applied within the socalled random phase approximation (RPA) that actually poorly describes the
correlation energy on the short range.
The goal of this thesis project is to develop and apply new methods based on the
ACFDT. Among the possible ways to proceed, the accuracy of the response
functions used within the ACFDT framework will be improved by applying timedependent density functional theory (TDDFT). Different approximations of the
TDDFT kernel will be tested to understand their influence on the accuracy of the
correlation energy. The comparison of different approaches will be performed both
for extended and molecular systems and the analysis of the results might lead to the
development of new and more accurate kernels. Alternatively, it might be possible to
exploit in the ACFDT framework ideas that have been developed in the context of
accurate quantum chemistry theories, such as the coupled cluster (CC) approach. It
has been recently shown that the RPA-ACFDT approach is equivalent to the ring-CC
approximation and the analogies between ACFDT and CC have been used to
develop the so-called ‘second order screened exchange correction’. Very likely, the
comparison of CC and ACFDT will lead to improved approximations.
Future tests and applications will include molecular crystals, layered materials, and
weakly bound biomolecules, which are all poorly described within tradition DFT.