Quantum phase transitions in one-dimensional nanostructures: a
comparison between DFT and DMRG methodologies
- URL: http://arxiv.org/abs/2402.12463v1
- Date: Mon, 19 Feb 2024 19:10:00 GMT
- Title: Quantum phase transitions in one-dimensional nanostructures: a
comparison between DFT and DMRG methodologies
- Authors: T. Pauletti, M. Sanino, L. Gimenes, I. M. Carvalho and V. V.
Fran\c{c}a
- Abstract summary: We use Density Functional Theory and Density Matrix Renormalization Group to address electronic correlation effects in diverse molecular systems.
For the confined chains, DFT performs better for metallic phases, while the highest deviations appear for the Mott and band-insulator phases.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In the realm of quantum chemistry, the accurate prediction of electronic
structure and properties of nanostructures remains a formidable challenge.
Density Functional Theory (DFT) and Density Matrix Renormalization Group (DMRG)
have emerged as two powerful computational methods for addressing electronic
correlation effects in diverse molecular systems. We compare ground-state
energies ($e_0$), density profiles ($n$) and average entanglement entropies
($\bar S$) in metals, insulators and at the transition from metal to insulator,
in homogeneous, superlattices and harmonically confined chains described by the
fermionic one-dimensional Hubbard model. While for the homogeneous systems
there is a clear hierarchy between the deviations, $D\%(\bar S)<D\%(e_0)< \bar
D\%(n)$, and all the deviations decrease with the chain size; for superlattices
and harmonical confinement the relation among the deviations is less trivial
and strongly dependent on the superlattice structure and the confinement
strength considered. For the superlattices, in general increasing the number of
impurities in the unit cell represents less precision on the DFT calculations.
For the confined chains, DFT performs better for metallic phases, while the
highest deviations appear for the Mott and band-insulator phases. This work
provides a comprehensive comparative analysis of these methodologies, shedding
light on their respective strengths, limitations, and applications.
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