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Profil bibliographique

Agniva Paul

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

11Publications signalées
11Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Ferroelectric and Negative Capacitance DevicesSemiconductor materials and devicesFerroelectric and Piezoelectric MaterialsAdvancements in Semiconductor Devices and Circuit DesignAdvanced Sensor and Energy Harvesting Materials

Les publications récentes

Accès ouvert 2026 article OpenAlex

Vacancy-Assisted Polarization-Catastrophe Framework for Wake-Up and Ferroelectricity in Hafnium Oxide

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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0 citations Nano Letters
Accès ouvert 2026 article OpenAlex

Quantifying Endurance-Driven Loss of Polarization-to-Channel Charge Coupling in HfO2-Based Ferroelectric Field-Effect Transistors

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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0 citations ACS Applied Electronic Materials
Accès ouvert 2026 article OpenAlex

Endurance Paradox in Hafnium-Oxide-Based Silicon-Channel Ferroelectric Transistors

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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2 citations ACS Applied Materials & Interfaces
2026 conference-paper OpenAlex

WO x –HZO-PEALD-TiN Interface-Engineered Ferroelectric Capacitors with >2×10 10 Endurance

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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0 citations
Accès ouvert 2026 article OpenAlex

Sub-2 nm Equivalent-Oxide-Thickness Ferroelectric Transistors for Cryogenic Memory and Computing

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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4 citations ACS Nano
Accès ouvert 2026 article OpenAlex

Long-term reliability of naturally aged hafnium oxide ferroelectric transistors for energy-efficient embedded memory

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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4 citations Cell Reports Physical Science
Accès ouvert 2026 other OpenAlex

Long-term reliability of naturally aged hafnium oxide ferroelectric transistors for energy-efficient embedded memory

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 …

0 citations Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Accès ouvert 2026 other OpenAlex

Sub-2 nm Equivalent-Oxide-Thickness Ferroelectric Transistors for Cryogenic Memory and Computing

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 …

0 citations Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Accès ouvert 2026 other OpenAlex

Endurance Paradox in Hafnium-Oxide-Based Silicon-Channel Ferroelectric Transistors

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 …

0 citations Fraunhofer-Publica (Fraunhofer-Gesellschaft)
2025 conference-paper OpenAlex

HZO based FeFET with Sub 2-nm EOT Gate Stack as Synapse for Spiking Neural Network

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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1 citation

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