Unraveling effects of electron correlation in two-dimensional Fe$_{n}$GeTe$_{2}$ (n=3, 4, 5) by dynamical mean field theory
Sukanya Ghosh, Soheil Ershadrad, Vladislav Borisov, Biplab Sanyal

TL;DR
This study uses advanced computational methods to analyze electron correlation effects in two-dimensional Fe$_{n}$GeTe$_{2}$ materials, revealing that DFT+DMFT accurately predicts magnetic properties crucial for spintronic applications.
Contribution
It demonstrates that DFT+DMFT outperforms other approaches in accurately modeling magnetic interactions in Fe$_{n}$GeTe$_{2}$ systems, highlighting the importance of dynamic electron correlation effects.
Findings
DFT+DMFT accurately reproduces experimental magnetic transition temperatures.
DFT+U provides inaccurate structural and magnetic property predictions.
Dynamic electron correlation is essential for correct magnetic property modeling.
Abstract
The FeGeTe systems are newly discovered two-dimensional van-der-Waals materials, exhibiting magnetism at room temperature. The sub-systems belonging to FeGeTe class are special because they show site-dependent magnetic behavior. We focus on the critical evaluation of magnetic properties and electron correlation effects in FeGeTe (= 3, 4, 5) (FGT) systems performing first-principles calculations. Three different ab-initio approaches have been used, viz., i) standard density functional theory (DFT), ii) incorporating static electron correlation (DFT+U) and iii) inclusion of dynamic electron correlation effect (DFT+DMFT). Our results show that DFT+DMFT is the most accurate technique to correctly reproduce the magnetic interactions and experimentally observed transition temperatures. The inaccurate values of structural parameters, magnetic moments and…
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Taxonomy
Topics2D Materials and Applications · Iron-based superconductors research · Magnetic and transport properties of perovskites and related materials
