The impact of increasing Zr dopant concentration in Ruddlesden Popper perovskite to enhance Resistive Random-Access Memory performance: Using the DFT method

As Resistive Random- Access memory (RRAM) emerges as a promising solution for high-performance memory application, this study applies density functional theory (DFT) to analyze the structural, electronic, and optical properties of pure and Zr-doped Mg<sub>3</sub>Hf<sub>2</sub>O<sub>7</sub> at various doping concentrations (0, 0.25, 0.50, 0.75, and 1.0). The electronic analysis reveals that increasing Zr doping reduces the bandgap, thereby enhancing the conductivity of the composites. These findings highlight their potential for resistive switching memory applications. Iso-surface charge density plots revealed that the substitutional replacement of all Hf atoms by Zr atoms significantly increased the number of conducting channels, which enhanced the material's overall conductivity and increased the efficiency of non-volatile memory. Optical analysis showed that Mg<sub>3</sub>Zr<sub>2</sub>O<sub>7</sub> composite has significant conductivity and absorption over a wide range of photon energies and low reflectivity. In particular, Mg<sub>3</sub>Zr<sub>2</sub>O<sub>7</sub> exhibited the least formation energy and highest conductivity, suggesting it is the most stable composite. Mechanical properties confirm all studied materials' stability, anisotropic nature, and ductility. The analysis indicates that Mg<sub>3</sub>Zr<sub>2</sub>O<sub>7</sub> holds strong potential for Resistive Random- Access memory applications.

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Publication Details

Journal
Journal of Molecular Graphics and Modelling
Published
2025-03-04
DOI
https://doi.org/10.1016/j.jmgm.2025.109000
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

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article

The impact of increasing Zr dopant concentration in Ruddlesden Popper perovskite to enhance Resistive Random-Access Memory performance: Using the DFT method

Fayyaz Hussain, Ammar M. Tighezza, R.M. Arif Khalil, Muhammad Fahad Ehsan et al.
2 citations
Journal of Molecular Graphics and Modelling
Advanced Memory and Neural Computing
1.46
article

The impact of increasing Zr dopant concentration in Ruddlesden Popper perovskite to enhance Resistive Random-Access Memory performance: Using the DFT method

Fayyaz Hussain, Ammar M. Tighezza, R.M. Arif Khalil, Muhammad Fahad Ehsan, Umbreen Rasheed, Muhammad Imran, Aqsa Arooj
article en
2 citations

Abstract

As Resistive Random- Access memory (RRAM) emerges as a promising solution for high-performance memory application, this study applies density functional theory (DFT) to analyze the structural, electronic, and optical properties of pure and Zr-doped Mg<sub>3</sub>Hf<sub>2</sub>O<sub>7</sub> at various doping concentrations (0, 0.25, 0.50, 0.75, and 1.0). The electronic analysis reveals that increasing Zr doping reduces the bandgap, thereby enhancing the conductivity of the composites. These findings highlight their potential for resistive switching memory applications. Iso-surface charge density plots revealed that the substitutional replacement of all Hf atoms by Zr atoms significantly increased the number of conducting channels, which enhanced the material's overall conductivity and increased the efficiency of non-volatile memory. Optical analysis showed that Mg<sub>3</sub>Zr<sub>2</sub>O<sub>7</sub> composite has significant conductivity and absorption over a wide range of photon energies and low reflectivity. In particular, Mg<sub>3</sub>Zr<sub>2</sub>O<sub>7</sub> exhibited the least formation energy and highest conductivity, suggesting it is the most stable composite. Mechanical properties confirm all studied materials' stability, anisotropic nature, and ductility. The analysis indicates that Mg<sub>3</sub>Zr<sub>2</sub>O<sub>7</sub> holds strong potential for Resistive Random- Access memory applications.

Journal of Molecular Graphics and ModellingVol. 137
Bahauddin Zakariya University (PK), Northeastern University (US), Daegu Gyeongbuk Institute of Science and Technology (KR), Government College University, Faisalabad (PK), King Saud University (SA)
King Saud University
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
1.46
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