2.6k citations · 3.2k across the 23 of their papers we have counts for
21 papers
Deep Learning Based Superconductivity: Prediction and Experimental Tests
Daniel Kaplan, Adam Zhang, Joanna Blawat +6
The discovery of novel superconducting materials is a longstanding challenge in materials science, with a wealth of potential for applications in energy, transportation, and comput…
Linearized self-consistent quasiparticle GW method: Application to semiconductors and simple metals
Andrey L. Kutepov, Viktor S. Oudovenko, Gabriel Kotliar
We present a code implementing the linearized self-consistent quasiparticle GW method (scQPGW) in the LAPW basis. Our approach is based on the linearization of the self-energy arou…
Kinematical spin-fluctuation pairing in cuprates
Nikolay M. Plakida, Viktor S. Oudovenko
We propose a microscopic theory of superconductivity for systems with strong electron correlations such as cuprates in the framework of the extended Hubbard model where the intersi…
On the theory of superconductivity in the extended Hubbard model: Spin-fluctuation pairing
Nikolay M. Plakida, Viktor S. Oudovenko
A microscopic theory of superconductivity in the extended Hubbard model which takes into account the intersite Coulomb repulsion and electron-phonon interaction is developed in the…
Electronic spectrum in cuprates within p-d Hubbard model
N. Plakida, V. Oudovenko
A microscopic theory for electronic spectrum of the CuO2 plane within an effective p-d Hubbard model is proposed. Dyson equation for the one-electron Green function in terms of the…
Electronic Structure Calculations with Dynamical Mean-Field Theory: A Spectral Density Functional Approach
G. Kotliar, S. Y. Savrasov, K. Haule +3
We present a review of the basic ideas and techniques of the spectral density functional theory which are currently used in electronic structure calculations of strongly-correlated…