140 research outputs found
Development of Density-Functional Theory for Plasmon-Assisted Superconducting State: Application to Lithium Under High Pressures
We extend the density-functional theory for superconductors (SCDFT) to take
account of the dynamical structure of the screened Coulomb interaction. We
construct an exchange-correlation kernel in the SCDFT gap equation on the basis
of the random-phase approximation, where electronic collective excitations such
as plasmons are properly treated. Through an application to fcc lithium under
high pressures, we demonstrate that our new kernel gives higher transition
temperatures (Tc) when the plasmon and phonon cooperatively mediate pairing and
it improves the agreement between the calculated and experimentally observed
Tc. The present formalism opens the door to non-empirical studies on
unconventional electron mechanisms of superconductivity based on density
functional theory.Comment: 5 pages, 4 figures, title has been changed from that of the
previously uploaded version for publication in Phys. Rev. Let
Density Functional Theory for Plasmon-Assisted Superconductivity
We review the recent progress in the density functional theory for
superconductors (SCDFT). Motivated by the long-studied plasmon mechanism of
superconductivity, we have constructed an exchange-correlation kernel entering
the SCDFT gap equation which includes the plasmon effect. For the case of
lithium under high pressures, we show that the plasmon effect substantially
enhances the transition temperature (Tc) by cooperating with the conventional
phonon mechanism and results in a better agreement between the theoretical and
experimentally observed Tc. Our present formalism will be a first step to
density functional theory for unconventional superconductors.Comment: 9 pages, 7 figures; accepted for publication in J. Phys. Soc. Jpn.
Special Topics; conference proceedings of The International Conference on
Strongly Correlated Electron Systems (SCES) 201
Neural-network Kohn-Sham exchange-correlation potential and its out-of-training transferability
We incorporate in the Kohn-Sham self consistent equation a trained
neural-network projection from the charge density distribution to the
Hartree-exchange-correlation potential for possible
numerical approach to the exact Kohn-Sham scheme. The potential trained through
a newly developed scheme enables us to evaluate the total energy without
explicitly treating the formula of the exchange-correlation energy. With a case
study of a simple model we show that the well-trained neural-network achieves accuracy for the charge density and total energy out of the
model parameter range used for the training, indicating that the property of
the elusive ideal functional form of can approximately be
encapsulated by the machine-learning construction. We also exemplify a factor
that crucially limits the transferability--the boundary in the model parameter
space where the number of the one-particle bound states changes--and see that
this is cured by setting the training parameter range across that boundary. The
training scheme and insights from the model study apply to more general
systems, opening a novel path to numerically efficient Kohn-Sham potential.Comment: 7 pages, 6 figure
Application of Coulomb energy density functional for atomic nuclei: Case studies of local density approximation and generalized gradient approximation
We test the Coulomb exchange and correlation energy density functionals of
electron systems for atomic nuclei in the local density approximation (LDA) and
the generalized gradient approximation (GGA). For the exchange Coulomb
energies, it is found that the deviation between the LDA and GGA ranges from
around in to around in , by taking the Perdew-Burke-Ernzerhof (PBE) functional
as an example of the GGA\@. For the correlation Coulomb energies, it is shown
that those functionals of electron systems are not suitable for atomic nuclei.Comment: 22 pages, 9 figures, 2 table
First-principles study of the pressure and crystal-structure dependences of the superconducting transition temperature in compressed sulfur hydrides
We calculate superconducting transition temperatures () in sulfur
hydrides HS and HS from first principles using the density
functional theory for superconductors. At pressures of 150 GPa, the
high values of (130 K) observed in the recent experiment
[A. P. Drozdov, M. I. Eremets, and I. A. Troyan, arXiv:1412.0460] are
accurately reproduced by assuming that HS decomposes into -HS
and S. For the higher pressures, the calculated s for
-HS are systematically higher than those for -HS and the
experimentally observed maximum value (190 K), which suggests the possibility
of another higher- phase. We also quantify the isotope effect from
first principles and demonstrate that the isotope effect coefficient can be
larger than the conventional value (0.5) when multiple structural phases
energetically compete.Comment: Main text: 6 pages, 3 figures, 1 table. Supplemental Material: 3
pages, 6 tables. Comment on ver2: Supplemental Material has been merged with
the main text, data have been added in Fig.1, and the title has been changed
from the original versio
- …
