Z
Zh. A. Moldabekov
Researcher at Al-Farabi University
Publications - 98
Citations - 1680
Zh. A. Moldabekov is an academic researcher from Al-Farabi University. The author has contributed to research in topics: Electron & Warm dense matter. The author has an hindex of 17, co-authored 63 publications receiving 850 citations. Previous affiliations of Zh. A. Moldabekov include University of Kiel.
Papers
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Theoretical foundations of quantum hydrodynamics for plasmas
TL;DR: In this article, a fully non-local Bohm potential for the QHD model is presented, which is linked to the electron polarization function in the random phase approximation, and the dynamic QHD exchange correlation potential is introduced in the framework of local field corrections.
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Ab initio simulation of warm dense matter
Michael Bonitz,Tobias Dornheim,Zh. A. Moldabekov,S. Zhang,S. Zhang,Paul Hamann,Hanno Kählert,Alexei Filinov,Kushal Ramakrishna,Kushal Ramakrishna,Jan Vorberger +10 more
TL;DR: In this article, Dornheim et al. reviewed recent further progress in QMC simulations of the warm dense uniform electron gas (UEG) and provided ab initio results for the static local field correction G(q) and for the dynamic structure factor S ( q, ω ).
Journal ArticleDOI
Ab initio simulation of warm dense matter
Michael Bonitz,Tobias Dornheim,Zh. A. Moldabekov,S. Zhang,S. Zhang,Paul Hamann,Hanno Kählert,Alexei Filinov,Kushal Ramakrishna,Kushal Ramakrishna,Jan Vorberger +10 more
TL;DR: In this paper, Dornheim et al. reviewed recent further progress in QMC simulations of the warm dense uniform electron gas (UEG) that were obtained by quantum Monte Carlo (QMC) simulations, namely, \textit{ab initio} results for the static local field correction $G(q)$ and for the dynamic structure factor $S(q, \omega)$.
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The static local field correction of the warm dense electron gas: An ab initio path integral Monte Carlo study and machine learning representation.
TL;DR: In this paper, the authors present extensive new path integral Monte Carlo (PIMC) results for the static local field correction (LFC) of the uniform electron gas, which are subsequently used to train a fully connected deep neural network.
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Fermionic path-integral Monte Carlo results for the uniform electron gas at finite temperature.
TL;DR: Alternative direct fermionic path integral Monte Carlo (DPIMC) simulations that are independent from RPIMC are presented that take into account quantum effects not only in the electron system but also in their interaction with the uniform positive background.