Circuits and systems

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Comparative Analysis of Sense Amplifier Circuits for Hybrid CMOS-MTJ CIM Architecture

Comparative Analysis of Sense Amplifier Circuits for Hybrid CMOS-MTJ CIM Architecture 150 150
Author(s): Yashvardhan Singh, Siddharth Penumatsa, Prashanth Barla

Abstract:

Spin-transfer torque magnetic tunnel junction (STT-MTJ) is widely recognized as a promising device for computation-in-memory (CIM) architecture due to its advantages, such as simple nonvolatile structure, CMOS compatibility, and scalability. In spite of the advantages, achieving reliable and efficient sensing of STT-MTJ remains a design challenge. This work presents a …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 95 – 103
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3690460
Publisher: IEEE

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Benchmarking of Emerging Material-Based TCAMs

Benchmarking of Emerging Material-Based TCAMs 150 150
Author(s): Ashwin Tunga, Junzhe Kang, Zijing Zhao, Ankit Shukla, Wenjuan Zhu, Shaloo Rakheja

Abstract:

This work presents a comprehensive benchmarking of ternary content-addressable memory (TCAM) implementations using timing-accurate SPICE simulations, systematically comparing conventional CMOS designs with emerging device technologies, including magnetic tunnel junctions (MTJs), ferroelectric tunnel junctions (FTJs), ferroelectric field-effect transistors (FeFETs), and 2-D reconfigurable field-effect transistors (2D RFETs). Key performance metrics, including search …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 104 – 112
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3687143
Publisher: IEEE

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1-Transistor-Dynamic Random Access Memory as Reservoir for Temporal Signal Processing

1-Transistor-Dynamic Random Access Memory as Reservoir for Temporal Signal Processing 150 150
Author(s): Md Yasir Bashir, Lalith Adithya Sai C., Shubham Sahay

Abstract:

Reservoir computing (RC), a computational paradigm inspired by the recurrent neural networks (RNNs), offers a promising framework for efficient temporal processing with minimal training overhead. Hardware implementation of RC primitive requires devices that exhibit short-term memory, nonlinearity, and energy-efficient state-switching dynamics. While emerging nonvolatile memory (eNVM) technologies have been explored …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 120 – 128
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3690766
Publisher: IEEE

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The Impact of Magnetic Field on Defective FDSOI and FinFET Devices

The Impact of Magnetic Field on Defective FDSOI and FinFET Devices 150 150
Author(s): Munazza Sayed, Hussam Amrouch

Abstract:

This article explores the efficacy of a unique defect detection mechanism for the FinFET and FDSOI transistors: magnetomodulation of drain current. Using multiphysics technology CAD (TCAD), we model the impact of static and transient magnetic fields on drain current in the following defect-free and defective devices: 1) FDSOI with interface trap …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 113 – 119
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3686904
Publisher: IEEE

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OISMA: On-the-Fly In-Memory Stochastic Multiplication Architecture for Approximate Matrix Multiplication

OISMA: On-the-Fly In-Memory Stochastic Multiplication Architecture for Approximate Matrix Multiplication 150 150
Author(s): Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis

Abstract:

Artificial intelligence (AI) models are currently driven by a significant upscaling of their complexity, with massive matrix-multiplication workloads representing the major computational bottleneck. In-memory computing (IMC) architectures are proposed to avoid the von Neumann bottleneck. However, both digital/binary-based and analog IMC architectures suffer from various limitations, which significantly degrade …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 56 – 64
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3680281
Publisher: IEEE

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A 550-μW Capacitor-Assisted Transformer-Based VCO Achieving 204-dBc/Hz FoMA at 1-MHz Frequency Offset

A 550-μW Capacitor-Assisted Transformer-Based VCO Achieving 204-dBc/Hz FoMA at 1-MHz Frequency Offset 150 150
Author(s): Teng-Shen Yang, Liang-Hung Lu

Abstract:

This letter presents a capacitor-assisted transformer (CTF)-based voltage-controlled oscillator (VCO) that achieves a low flicker-noise corner with submilliwatt power consumption and compact chip area. By introducing a small assisting capacitor into the transformer, the higher order tank impedance is reshaped from the second-resonance region toward the third-resonance region, resulting …

Published in: IEEE Solid-State Circuits Letters
Page(s): 150 – 153
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2026.3690818
Publisher: IEEE

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A Complementary Positive Feedback-Assisted Current Mirror-Based Level Shifter for Energy-Efficient Level Conversion for Wide Voltage Ranges

A Complementary Positive Feedback-Assisted Current Mirror-Based Level Shifter for Energy-Efficient Level Conversion for Wide Voltage Ranges 150 150
Author(s): Shin Han, Gicheol Shin, Jongmin Lee, Yoonmyung Lee

Abstract:

A complementary positive feedback-assisted current mirror-based level shifter (CPFLS) is proposed to reliably convert subthreshold signals to higher voltages. By adopting a positive feedback structure, the CPFLS mitigates the delay degradation and short-circuit current issues inherent in a prior art, WCMLS, due to its negative feedback design. Additionally, the CPFLS …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 11
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3687258
Publisher: IEEE

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A 3.47 NEF 175.2-dB FoMs Direct Digitization Front-End Featuring Delta Amplification Noise-Shaping SAR ADC for Biosignal Acquisition

A 3.47 NEF 175.2-dB FoMs Direct Digitization Front-End Featuring Delta Amplification Noise-Shaping SAR ADC for Biosignal Acquisition 150 150
Author(s): Kyeongwon Jeong, Can Livanelioglu, Jiawei Liao, Inhee Lee, Taekwang Jang

Abstract:

This article presents a direct-digitization interface for ExG bio-signals’ readout that simultaneously achieves a high dynamic range (DR) and a low noise-efficiency factor (NEF). The proposed delta amplification (DA) and feedback cancellation technique reduce both the input and output ranges of the first amplifier, thus allowing the use of a …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3685168
Publisher: IEEE

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Denim: Heterogeneous Compute-in-Memory Accelerator Exploiting Denoising–Similarity for Diffusion Models

Denim: Heterogeneous Compute-in-Memory Accelerator Exploiting Denoising–Similarity for Diffusion Models 150 150
Author(s): Ruiqi Guo, Lei Wang, Xiaofeng Chen, Keyi Jiang, Zhiheng Yue, Huiming Han, Yang Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin

Abstract:

Diffusion models have recently revolutionized the field of image synthesis due to their ability to generate photorealistic images. However, one of the main drawbacks of diffusion models is that the image generation process is expensive. Large image-to-image networks have to be applied multiple times in order to iteratively optimize the …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3684745
Publisher: IEEE

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