Hardware-aware quantum error correction using cryogenic FeFET-weighted Max-SAT decoding
Agniva Paul, Apu Das, Ankita Dutta, Debraj Barman et autres
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Agniva Paul, Apu Das, Ankita Dutta, Debraj Barman et autres
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Agniva Paul, Apu Das, Jonas Müller, Mohit Tewari et autres
Ferroelectric wake-up in hafnium oxide remains one of the key unresolved problems in oxide electronics. Here, we combine four-dimensional scanning transmission electron microscopy (4D-STEM), X-ray photoelectron spectroscopy (XPS), first-principles calculations, electrical characterization, and theoretical modeling to investigate wake-up in TaN/Hf0.5Zr0.5O2/TiN capacitors. Although …
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Apu Das, Agniva Paul, Zhao-Feng Lou, Masud Rana SK et autres
Abstract Hafnium-oxide (HfO2)-based ferroelectric field-effect transistors are promising for nonvolatile memory and in-memory computing; however, endurance degradation remains difficult to quantify because polarization switching and charge trapping simultaneously influence the threshold voltage. Here, we combine transfer characteristics, switching-current-derived polarization, capacitance–voltage measurements, and …
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Apu Das, Agniva Paul, Mohit Tewari, Zhao-Feng Lou et autres
High Resolution Image Download MS PowerPoint Slide Hafnium-oxide-based ferroelectric field-effect transistors are widely regarded as strong candidates for embedded nonvolatile memory, but their practical deployment remains limited by premature endurance failure, typically after only about 10 4 program/erase cycles. Here, we show …
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Agniva Paul, Gautham Kumar, Sunanda Thunder, Apu Das et autres
We demonstrate WOx–HZO–PEALD-TiN interface-engineered ferroelectric capacitors achieving >2×1010-cycle endurance and 1.5 V operation. A thin WOxinterfacial layer suppresses oxygen-vacancy-related charge trapping and mitigates local electric-field nonuniformity, while the PEALD-TiN top electrode limits defect generation during cycling. The devices exhibit a dielectric constant …
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Apu Das, Asim Senapati, Gautham Kumar, Zhao-Feng Lou et autres
High Resolution Image Download MS PowerPoint Slide Ferroelectric hafnia-based field-effect transistors are promising candidates for nonvolatile memory and in-memory computing. However, their operation principle under deep-cryogenic conditions at aggressively scaled gate stacks remains underexplored, especially for bulk silicon technology. This work presents …
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Asim Senapati, Apu Das, Agniva Paul, Masud Rana Sk et autres
Ferroelectric field-effect transistors (FeFETs) based on hafnium oxide remain promising for embedded non-volatile memory, yet their long-term stability under realistic storage conditions is not well understood. Here, we examine silicon-doped hafnium oxide FeFETs that have undergone more than 5 years of natural …
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Asim Senapati, Apu Das, Agniva Paul, Masud Rana Sk et autres
Ferroelectric field-effect transistors (FeFETs) based on hafnium oxide remain promising for embedded non-volatile memory, yet their long-term stability under realistic storage conditions is not well understood. Here, we examine silicon-doped hafnium oxide FeFETs that have undergone more than 5 years of natural …
Apu Das, Asim Senapati, Gautham Kumar, 娄兆锋 et autres
Ferroelectric hafnia-based field-effect transistors are promising candidates for nonvolatile memory and in-memory computing. However, their operation principle under deep-cryogenic conditions at aggressively scaled gate stacks remains underexplored, especially for bulk silicon technology. This work presents an experimental demonstration of front-end-of-line bulk silicon-channel …
Apu Das, Agniva Paul, Mohit Tewari, 娄兆锋 et autres
Hafnium-oxide-based ferroelectric field-effect transistors are widely regarded as strong candidates for embedded nonvolatile memory, but their practical deployment remains limited by premature endurance failure, typically after only about 104 program/erase cycles. Here, we show that this loss of device functionality is not …
Jaskirat Singh Maskeen, Apu Das, Gautham Kumar, Zhao-Feng Lou et autres
Ferroelectric FET (FeFET) synapses based on HZO with a sub-2 nm EOT gate stack promise dense, low-power neuromorphic hardware. Yet, their system efficacy is tightly coupled to the particulars of device-level electrical characterization. In this work, we establish a quantitative device-to-algorithm link …
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