Low-Temperature Fabrication of Mesoporous SiO₂ CBRAM Memory Cells on Flexible Substrates

Conductive bridge random access memories (CBRAMs) are promising candidates for memory applications on flexible substrates. In this study, mesoporous SiO2 CBRAM memory cells were fabricated and tested using a low-temperature process as low as 120 °C, making them compatible with various flexible substrates. A comparative study was conducted to validate the characteristics and performance of these memory cells in relation to conventional manufacturing process. We demonstrate the nonvolatile characteristics of the cells, which feature low switching voltages, a high-resistance ratio of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{4}$ </tex-math></inline-formula> between high- and low-resistance states, and reliable bipolar switching behavior, enduring over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{3}$ </tex-math></inline-formula> write-read-erase-read cycles. Furthermore, memory cells fabricated on polyethylene terephthalate (PET) substrates using the low-temperature process show stable and highly promising responses to mechanical stress. These results pave the way for the fabrication of simple, low-cost crossbar memory arrays on flexible substrates using a combination of sol-gel and inkjet-printing processes.

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Publication Details

Journal
IEEE Journal on Flexible Electronics
Published
2024-11-22
DOI
https://doi.org/10.1109/jflex.2024.3505072
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42
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article

Low-Temperature Fabrication of Mesoporous SiO₂ CBRAM Memory Cells on Flexible Substrates

M. Bocquet, J. Postel-Pellerin, David Grosso, Cédric Djaou et al.
2 citations
IEEE Journal on Flexible Electronics
Advanced Memory and Neural Computing
0.42
article

Low-Temperature Fabrication of Mesoporous SiO₂ CBRAM Memory Cells on Flexible Substrates

M. Bocquet, J. Postel-Pellerin, David Grosso, Cédric Djaou, Magali Putero, Minh Anh Luong, Roxane Mamberti, Evangéline Bènevent
article en
2 citations

Abstract

Conductive bridge random access memories (CBRAMs) are promising candidates for memory applications on flexible substrates. In this study, mesoporous SiO2 CBRAM memory cells were fabricated and tested using a low-temperature process as low as 120 °C, making them compatible with various flexible substrates. A comparative study was conducted to validate the characteristics and performance of these memory cells in relation to conventional manufacturing process. We demonstrate the nonvolatile characteristics of the cells, which feature low switching voltages, a high-resistance ratio of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{4}$ </tex-math></inline-formula> between high- and low-resistance states, and reliable bipolar switching behavior, enduring over <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{3}$ </tex-math></inline-formula> write-read-erase-read cycles. Furthermore, memory cells fabricated on polyethylene terephthalate (PET) substrates using the low-temperature process show stable and highly promising responses to mechanical stress. These results pave the way for the fabrication of simple, low-cost crossbar memory arrays on flexible substrates using a combination of sol-gel and inkjet-printing processes.

IEEE Journal on Flexible ElectronicsVol. 4(1)
Centre National de la Recherche Scientifique (FR), Université de Toulon (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Aix-Marseille Université (FR), Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (FR), Centre d’Élaboration de Matériaux et d’Études Structurales (FR), Centre Interdisciplinaire de Nanoscience de Marseille (FR)
Affordable and clean energy
Openalex Percentile: Top 36%
Advanced Memory and Neural Computing
0.42
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