2021Unpublished venueRequires access

Demonstration of 1T1C FeRAM Arrays for Nonvolatile Memory Applications

Jun Okuno, Takafumi Kunihiro, Kenta KONISHI, Hideki Maemura, Yusuke Shuto, Fumitaka Sugaya, Monica Materano, Tarek Ali, Maximilian Lederer, Kati Kuehnel, Konrad Seidel, Uwe Schroeder, Thomas Mikolajick, Masanori Tsukamoto, Taku Umebayashi

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Abstract

Over the past few years, concern over high-density and low-power embedded memories has risen for various applications, such as cache memory, Internet of Things (IoT), and in-memory computing. Traditional memories, such as embedded or external flash memories, are facing the challenge of scaling down beyond 28-nm technology due to high process costs resulting from complex structures. On the contrary, magnetoresistive random access memory (MRAM) has been receiving increased attention as it can be integrated in 22-nm technology. Resistive memory requires a high switching current during write or read operations, leading to high energy consumption. To control this consumption, dedicated access devices are necessary.

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What this paper is about

Over the past few years, concern over high-density and low-power embedded memories has risen for various applications, such as cache memory, Internet of Things (IoT), and in-memory computing. Traditional memories, such as embedded or external flash memories, are facing the challenge of scaling down beyond 28-nm technology due to high process costs resulting from complex structures. On the contrary, magnetoresistive random access memory (MRAM) has been receiving increased attention as it can be integrated in 22-nm technology. Resistive memory requires a high switching current during write or read operations, leading to high energy consumption. To control this consumption, dedicated access devices are necessary.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Over the past few years, concern over high-density and low-power embedded memories has risen for various applications, such as cache memory, Internet of Things (IoT), and in-memory computing. Traditional memories, such as embedded or external flash memories, are facing the challenge of scaling down beyond 28-nm technology due to high process costs resulting from complex structures. On the contrary, magnetoresistive random access memory (MRAM) has been receiving increased attention as it can be integrated in 22-nm technology. Resistive memory requires a high switching current during write or read operations, leading to high energy consumption. To control this consumption, dedicated access devices are necessary.

Key concepts: Ferroelectric RAM, Magnetoresistive random-access memory, Non-volatile memory, Computer science, Non-volatile random-access memory, Universal memory, Racetrack memory, Power consumption

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