Integrated circuit modeling

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Characterization and Modeling of Multilevel Analog ReRAM Synapses in the Sky130 Process

Characterization and Modeling of Multilevel Analog ReRAM Synapses in the Sky130 Process 150 150
Author(s): Irem Didin, Carl Brando, Ching-Yi Lin, Sahil Shah

Abstract:

Non-volatile memory devices play a key role in enabling energy-efficient computing. Among them, analog non-volatile memories such as Resistive Random Access Memory (ReRAM) offer high density and low power compared to conventional digital memories. However, their analog nature introduces device-level variability that impacts computational accuracy. This work presents the characterization …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 1 – 1
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3670667
Publisher: IEEE

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Inverse Design of Multilayered Pixelated mm-Wave Power Amplifiers

Inverse Design of Multilayered Pixelated mm-Wave Power Amplifiers 150 150
Author(s): Vinay Chenna, Hossein Hashemi

Abstract:

A topology optimization methodology is presented for the design of multistage, multipath, linear and nonlinear millimeter-wave (mm-Wave) power amplifiers (PAs). Optimization algorithms autonomously generate complete multilayered PA core layouts, including actives and passives, with minimal human intervention in just a few days. Experimental results from fabricated linear and nonlinear W-band …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3656334
Publisher: IEEE

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SiWB: A 28-nm 800-MHz 4.2-to-14.2-Gb/s/W Configurable Multi-Core Architecture for White-Box Block Cipher With Area-Efficient Random Linear Transformation and Load-Aware Inter-Core Scheduling

SiWB: A 28-nm 800-MHz 4.2-to-14.2-Gb/s/W Configurable Multi-Core Architecture for White-Box Block Cipher With Area-Efficient Random Linear Transformation and Load-Aware Inter-Core Scheduling 150 150
Author(s): Xiangren Chen, Bohan Yang, Wenping Zhu, Hanning Wang, Jinjiang Yang, Min Zhu, Aoyang Zhang, Leibo Liu

Abstract:

White-box cryptography (WBC) seeks to protect secret keys (SKs) even under the white-box security model that features adversaries having full control of the execution environment. Due to the ever-growing demand for content protection under security-critical scenarios, the recent progress on WBC has been nothing short of spectacular. However, the security-prioritized …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3649035
Publisher: IEEE

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Chameleon: A Multiplier-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data

Chameleon: A Multiplier-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data 150 150
Author(s): Douwe den Blanken, Charlotte Frenkel

Abstract:

On-device learning at the edge enables low-latency, private personalization with improved long-term robustness and reduced maintenance costs. Yet, achieving scalable, low-power (LP) end-to-end on-chip learning, especially from real-world sequential data with a limited number of examples, is an open challenge. Indeed, accelerators supporting error backpropagation optimize for learning performance at …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 16
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3645640
Publisher: IEEE

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Coupled Simulation Methodology for In-Memory Computing Systems

Coupled Simulation Methodology for In-Memory Computing Systems 150 150
Author(s): Daniel Schön, Christian Owusu-Afriyie, Quang Huy Nguyen, Rainer Leupers, Stephan Menzel, Melvin Galicia

Abstract:

Simulations for the development and optimization of future in-memory computing (IMC) systems often face the problem that the modeling of the large system is desired, but at the same time, the effects at the device level should also be taken into account. Such effects could be due to the material …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 18 – 26
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3652426
Publisher: IEEE

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A SPICE-Compatible Compact Model of Ferroelectric Diode

A SPICE-Compatible Compact Model of Ferroelectric Diode 150 150
Author(s): Musaib Rafiq, Mohammad Sajid Nazir, Ateeb Naseer, Yogesh Singh Chauhan, Shubham Sahay

Abstract:

In this work, for the first time, we present a SPICE-compatible compact model of ferroelectric (FE) diodes to enable their design exploration for diverse applications, including memory and unconventional computing paradigms. We propose modified Schottky barrier and hopping models for capturing the on- and off-mode operations of the FE diode, …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 166 – 170
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3624212
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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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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