Skip to Content

Journal of Low Power Electronics and Applications, Volume 16, Issue 2

2026 June - 11 articles

Cover Story: As deep neural networks continue to scale, AI hardware faces growing challenges in memory bandwidth, data movement, and energy efficiency. This review examines how 3D integration can address the memory wall by bringing computation closer to memory through memory-on-logic, compute-in-memory, and monolithic 3D architectures. We summarize recent accelerator designs, compare their maturity and trade-offs, and discuss key challenges, including thermal management, signal integrity, power delivery, and package-level reliability. View this paper
 
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (11)

  • Review
  • Open Access
1,899 Views
33 Pages

3D Integrated DNN Accelerators: Recent Trends and Future Prospects

  • Abrar Abdurrob,
  • Aristotelis Tsekouras,
  • Evangelos Tzouvaras,
  • Vasilis F. Pavlidis and
  • Emre Salman

The rapid growth of Deep Neural Networks (DNNs) has led to the development of application-specific DNN accelerators. Conventional 2D von Neumann architectures suffer from memory bandwidth limitations between the memory and the processing core. 3D DNN...

(This article belongs to the Special Issue 15th Anniversary of Journal of Low Power Electronics and Applications)
  • Review
  • Open Access
1 Citations
1,718 Views
29 Pages

The increasing demand of digital technologies and their integration with wearable health devices provides an efficient trigger for next-generation wearable healthcare devices for long-term physiological monitoring. The advancement of energy harvestin...

  • Feature Paper
  • Article
  • Open Access
1,023 Views
15 Pages

This paper presents the design and implementation of an X-band voltage-controlled oscillator (VCO) fabricated in a standard 180-nm CMOS process. To sustain stable oscillation under a constrained power budget, a gm-boosted topology is employed, integr...

(This article belongs to the Topic Advanced Integrated Circuit Design and Application)
  • Article
  • Open Access
833 Views
23 Pages

AI accelerators increasingly operate under tight power, thermal, voltage, and timing margins, making workload-dependent thermal nonuniformity an important reliability concern. In systolic AI accelerators, localized activity concentration can create s...

(This article belongs to the Topic Advanced Integrated Circuit Design and Application)
  • Article
  • Open Access
1,509 Views
14 Pages

A Low-Power 68.4 dB Signal-to-Noise-and-Distortion Ratio Noise-Shaping SAR ADC for Biomedical Applications

  • Thi Phuong Ha,
  • The Khai Chu,
  • Van Tung Nguyen,
  • Orazio Aiello and
  • Xuan Thanh Pham

This paper introduces a novel analog-to-digital converter (ADC) employing a passive noise-shaping (NS) technique combined with a chopper-stabilized comparator, enhancing performance and reducing ripple factor while maintaining low power consumption....

(This article belongs to the Special Issue Ultra-Low-Power ICs for the Internet of Things (3rd Edition))
  • Article
  • Open Access
1 Citations
1,834 Views
17 Pages

Efficient Battery State of Health Estimation Using Lightweight ML Models Based on Limited Voltage Measurements

  • Mohammad Okour,
  • Mohannad Alkhalil,
  • Mutaz Al Fayad,
  • Juhyun Bak and ,
  • Kevin R. James,
  • Sulaiman Mohaidat,
  • Xiaoqi Liu,
  • Fadi Alsaleem,
  • Michael Hempel and
  • Mahmoud Alahmad
  • + 6 authors+ 1 author

Accurate estimation of lithium-ion battery State of Health (SoH) is critical for emerging applications such as reconfigurable battery systems. Although data-driven machine learning methods are promising, they often rely on costly, time-intensive agin...

(This article belongs to the Special Issue 15th Anniversary of Journal of Low Power Electronics and Applications)
  • Article
  • Open Access
2,263 Views
19 Pages

Low-Cost Smart Ammeter for Autonomous Contactless IoT Power Monitoring

  • Nicolas Medrano,
  • Diego Antolin,
  • Daniel Eneriz and
  • Belen Calvo

The measurement of the magnetic field generated by a flowing current constitutes a non-invasive sensing technique for online energy consumption monitoring. In this work, based on the use of low-cost linear Hall effect sensors, a low-form-factor custo...

  • Article
  • Open Access
2,048 Views
16 Pages

RF/mm-Wave Frequency Doublers in CMOS Technology

  • Manfredi Caruso,
  • Andrea Ballo,
  • Minoo Eghtesadi and
  • Egidio Ragonese

This paper provides a comprehensive analysis of active frequency doubler architectures adopted for efficient generation of millimeter-wave (mm-wave) signals. The operational principles of each topology are explained to address a thorough comparison b...

(This article belongs to the Special Issue 15th Anniversary of Journal of Low Power Electronics and Applications)
  • Article
  • Open Access
1 Citations
1,921 Views
21 Pages

Forward-Flyback Resonant Topology with Edge AI for MPPT Control in Solar Power Generation

  • Juan Cruz-Cozar,
  • Javier Mendez,
  • Miguel Molina,
  • Jorge Perez-Martinez and ,
  • Alberto Martin-Martin,
  • Noel Rodriguez and
  • Diego P. Morales
  • + 2 authors+ 0 author

Distributed energy systems open up a vast field of research in power electronics. Local solar power generation requires DC-DC converters that adapt the energy generated by the panels to on-site distribution buses. In addition, the control of the powe...

(This article belongs to the Special Issue 15th Anniversary of Journal of Low Power Electronics and Applications)
  • Article
  • Open Access
1 Citations
1,036 Views
18 Pages

A 0.3 V Nanowatt Bulk-Driven CCII− in 0.18-µm CMOS for Ultra-Low-Power Current-Mode Interfaces

  • Giovanni Nicolini,
  • Alessio Passaquieti,
  • Giuseppe Scotti and
  • Riccardo Della Sala

A 0.3 V nanowatt CCII− is presented in 0.18 μm TSMC CMOS, targeting ultra-low-power current-mode interfaces. Post-layout extracted simulations demonstrate correct conveying operation with a total DC power consumption of less than 2.40 nW. Th...

(This article belongs to the Special Issue Ultra-Low-Power ICs for the Internet of Things (3rd Edition))
  • Article
  • Open Access
1 Citations
2,071 Views
32 Pages

Static Voltage Stability Assessment of Renewable Energy Power Systems Based on DBN-LSTM Power Forecasting

  • Qiang Wang,
  • Libo Yang,
  • Mengdi Wang,
  • Bin Ma and ,
  • Long Yuan,
  • Shaobo Li and
  • Zhangjie Liu
  • + 2 authors+ 0 author

High penetration of renewable energy sources (RESs) introduces significant power fluctuations, threatening voltage and frequency stability in modern power systems. This paper presents an integrated framework for static voltage stability assessment an...

(This article belongs to the Special Issue Energy Consumption Management in Electronic Systems)
XFacebookLinkedIn
J. Low Power Electron. Appl. - ISSN 2079-9268