Logic gates

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A High-Speed D-FF and a 11-Bit Up-Down Counter Using Unipolar Oxide TFTs on a Flexible Foil

A High-Speed D-FF and a 11-Bit Up-Down Counter Using Unipolar Oxide TFTs on a Flexible Foil 150 150
Author(s): Suyash Shrivastava, Pydi Ganga Bahubalindruni

Abstract:

This manuscript presents an experimental characterization of a novel high speed D flip-flop (D-FF). The circuit was fabricated on a $27\mu $ m thick flexible polyimide substrate using a nMOS only, single gate amorphous Indium-Gallium-Zinc-Oxide (a-IGZO) thin-film transistor (TFT) technology. Reliable response of the D-FF was noticed from measurements up to …

Published in: IEEE Solid-State Circuits Letters
Page(s): 373 – 376
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3636192
Publisher: IEEE

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Energy-Efficient Logic-in-Memory and Neuromorphic Computing in Raised Source and Drain MOSFETs

Energy-Efficient Logic-in-Memory and Neuromorphic Computing in Raised Source and Drain MOSFETs 150 150
Author(s): Md. Hasan Raza Ansari, Bashayr Alqahtani, Naveen Kumar, Vihar Georgiev, Nazek El-Atab

Abstract:

This work highlights the potential application of raised source and drain (RSD) MOSFETs-based charge trapping memory (CTM) for next-generation computing applications. This simulation study presents a double-gate (DG)-RSD MOSFET technology with a short gate length (50 nm) to significantly improve the performance of logic-in-memory (LIM) and neuromorphic computing (NC) systems. …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 197 – 204
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3630217
Publisher: IEEE

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PANNA: A 558 TOPS/W Pipelined All-Analog Neural Network Accelerator in 22 nm FD-SOI

PANNA: A 558 TOPS/W Pipelined All-Analog Neural Network Accelerator in 22 nm FD-SOI 150 150
Author(s): Jakob Finkbeiner, Raphael Nägele, Manuel Wittlinger, Markus Grözing, Manfred Berroth, Georg Rademacher

Abstract:

Analog computing offers intrinsic energy and latency benefits that makes it attractive for real-time and edge applications. Conventional analog accelerators suffer from repeated conversions between analog and digital domain, which degrades efficiency and throughput. We propose an all-analog pipelined neural network accelerator architecture in 22 nm fully-depleted silicon-on-insulator (FD-SOI) complementary metal-oxide-semiconductor (…

Published in: IEEE Solid-State Circuits Letters
Page(s): 365 – 368
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3627274
Publisher: IEEE

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Integrating Atomistic Insights With Circuit Simulations via Transformer-Driven Symbolic Regression

Integrating Atomistic Insights With Circuit Simulations via Transformer-Driven Symbolic Regression 150 150
Author(s): Md Rahatul Islam Udoy, Jack Hutchins, Shamiul Alam, Catherine Schuman, Ahmedullah Aziz

Abstract:

This article introduces a framework that establishes a cohesive link between the first principles-based simulations and circuit-level analyses using a machine learning-based compact modeling platform. Starting with atomistic simulations, the framework examines the microscopic details of material behavior, forming the foundation for later stages. The generated datasets, with molecular insights, …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 179 – 187
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3624662
Publisher: IEEE

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Impact of Aging, Self-Heating, and Parasitics Effects on NSFET and CFET

Impact of Aging, Self-Heating, and Parasitics Effects on NSFET and CFET 150 150
Author(s): Swati Deshwal, Sufia Shahin, Anirban Kar, Yogesh S. Chauhan, Hussam Amrouch

Abstract:

This work presents a comparative analysis of complementary field-effect transistor (CFET) and nanosheet FET (NSFET) architectures, with a focus on self-heating effects (SHEs), negative bias temperature instability (NBTI), hot carrier degradation (HCD), and the impact of back-end-of-line (BEOL) parasitics on standard cell performance. NBTI degradation is modeled using a framework …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 188 – 196
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3624653
Publisher: IEEE

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1.58-b FeFET-Based Ternary Neural Networks: Achieving Robust Compute-In-Memory With Weight-Input Transformations

1.58-b FeFET-Based Ternary Neural Networks: Achieving Robust Compute-In-Memory With Weight-Input Transformations 150 150
Author(s): Imtiaz Ahmed, Akul Malhotra, Revanth Koduru, Sumeet Kumar Gupta

Abstract:

Ternary weight neural networks (TWNs), with weights quantized to three states (−1, 0, and 1), have emerged as promising solutions for resource-constrained edge artificial intelligence (AI) platforms due to their high energy efficiency with acceptable inference accuracy. Further energy savings can be achieved with TWN accelerators utilizing techniques such as compute-in-memory (CiM) and …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 157 – 165
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3621160
Publisher: IEEE

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Non-Volatile ReRAM-Based Compact Event-Triggered Counters

Non-Volatile ReRAM-Based Compact Event-Triggered Counters 150 150
Author(s): Moin Diwan, Shengchao Zhang, Zidu Li, Alex James, Bhaskar Choubey

Abstract:

With an increasing number of transistors per circuit, the fabrication cost and the energy consumption of each integrated circuits increase exponentially, which drives the need to reduce the number of transistors. In this study, we explore a novel design for a 16-bit digital counter that utilizes a combination of complementary …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 131 – 138
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3619415
Publisher: IEEE

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A Bit-Cell Failure Analysis Framework for Ferroelectric Field-Effect Transistor-Based Memories

A Bit-Cell Failure Analysis Framework for Ferroelectric Field-Effect Transistor-Based Memories 150 150
Author(s): Jianze Wang, Wei Zhang, Xuanyao Fong

Abstract:

The ferroelectric field-effect transistor (FeFET) is a promising memory device technology due to desirable attributes, such as fast access times, high memory cell density, good endurance, compatibility with CMOS process, and impressive scalability. While previous research has explored the impact of process variations at the device level, their effects on …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 123 – 130
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3616007
Publisher: IEEE

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A 1-8 GHz, 190MHz BB BW Mixer-First Receiver With Bootstrapped Mixer Switches Achieving Over 16dBm In-Band IIP3

A 1-8 GHz, 190MHz BB BW Mixer-First Receiver With Bootstrapped Mixer Switches Achieving Over 16dBm In-Band IIP3 150 150
Author(s): Erwin Hardeveld, Ronan van der Zee, Bram Nauta

Abstract:

In this article, we propose a wideband mixer-first receiver with improved in-band (IB) linearity. It uses bootstrapped N-path mixer switches to achieve a constant on-state gate–source voltage for large IB signals. We analyze the tradeoff between on-state resistance and off-state subthreshold current in conventional mixer switches and introduce a …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 14
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3606117
Publisher: IEEE

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