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Published on: April 8, 2020
Embedding procedure for ab initio correlation calculations in group II metals.
Elena Voloshina1, Nicola Gaston, Beate Paulus
1Max-Planck-Institut für Physik komplexer Systeme, Nöthnitzer Strasse 38, 01187 Dresden, Germany. velena@mpipks-dresden.mpg.de
This study introduces a novel embedding scheme for ab initio wave-function-based correlation methods in metals. The approach accurately models metallic properties in finite fragments, improving correlation energy calculations for solids.
Area of Science:
- Computational chemistry
- Solid-state physics
- Quantum mechanics
Background:
- Applying ab initio wave-function-based correlation methods to metals requires separating calculations into mean-field and correlation parts.
- Current methods necessitate using local correlation methods on finite fragments of the solid.
Purpose of the Study:
- To develop an effective embedding scheme for applying local wave-function-based correlation methods to metals.
- To investigate how different embedding strategies influence the calculated correlation energy of solids.
Main Methods:
- A novel embedding scheme is proposed that mimics metallic properties in the core region of finite fragments.
- Metallic orbitals are localized within the central part of the fragments using this embedding.
- The method of increments is employed to handle long-range nonadditive contributions of metallicity and correlation.
Main Results:
- The proposed embedding scheme effectively localizes metallic orbitals and mimics metal properties in correlated regions.
- Different embedding constructions were explored, revealing their impact on the final correlation energy.
- The study demonstrates the feasibility of applying localized correlation methods to extended metallic systems.
Conclusions:
- The developed embedding scheme provides a viable pathway for accurate ab initio correlation energy calculations in metals.
- This approach facilitates the study of electronic correlation in metallic systems using localized wave-function-based methods.
- The findings offer a new computational strategy for investigating the electronic structure of metals.
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