Publications
SSCS proudly sponsors six top-notch publications as complimentary member benefits in print and electronic formats. The IEEE Journal of Solid-State Circuits (JSSC) - historically one of the top-five downloaded technical journals on IEEE Xplore - is available on-line and in print. The electronic-only Solid-State Circuits Letters (SSC-L) is a brief format companion to the JSSC that offers fast turnaround to authors for the latest innovations in our field. The IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JxCDC) - an open-access monthly accessible free of charge via IEEE Xplore - offers researchers a journal to publish and extend their research results with supplementary technical materials. Our newest open-access journal, IEEE Open Journal of Solid-State Circuits launches in Fall 2020.
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John Long Vice President of Publications |
Members also receive the IEEE Solid-State Circuits Magazine free of charge (in print and on-line), which is a tutorial-level quarterly featuring pioneering breakthroughs, trending topics, and “who’s who” reports about IC community leaders and international, regional, and local award recipients. Other electronic-only publications are the RFIC Virtual Journal, a one-stop, curated compilation of RFIC papers within the publications library of the IEEE, and IEEE Design & Test Magazine, which offers insight into models, methods and tools for microelectronic systems.
- IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Introduction to the Special Issue on the 2019 IEEE International Solid-State Circuits Conference (ISSCC)
- A 243-mW 1.2556-Gb/s Continuous Range PAM-4 42.5-dB IL ADC/DAC-Based Transceiver in 7-nm FinFET
- A 128-Gb/s 1.3-pJ/b PAM-4 Transmitter With Reconfigurable 3-Tap FFE in 14-nm CMOS
- Sequence-Coded Multilevel Signaling for High-Speed Interface
- A 161-mW 56-Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14-nm FinFET
- A 65-nm 8-to-3-b 1.00.36-V 9.11.1-TOPS/W Hybrid-Digital-Mixed-Signal Computing Platform for Accelerating Swarm Robotics
- A 12.08-TOPS/W All-Digital Time-Domain CNN Engine Using Bi-Directional Memory Delay Lines for Energy Efficient Edge Computing
- A 28-nm Compute SRAM With Bit-Serial Logic/Arithmetic Operations for Programmable In-Memory Vector Computing
- A Self-Tuning IoT Processor Using Leakage-Ratio Measurement for Energy-Optimal Operation
- A Self-Regulated and Reconfigurable CMOS Physically Unclonable Function Featuring Zero-Overhead Stabilization
- A 65-nm Neuromorphic Image Classification Processor With Energy-Efficient Training Through Direct Spike-Only Feedback
- A 20.5 TOPS Multicore SoC With DNN Accelerator and Image Signal Processor for Automotive Applications
- A 28-nm Automotive Flash Microcontroller With Virtualization-Assisted Processor Supporting ISO26262 ASIL D
- A 2
$times$ - A 7.5 Gb/s/pin 8-Gb LPDDR5 SDRAM With Various High-Speed and Low-Power Techniques
- A 1.1-V 10-nm Class 6.4-Gb/s/Pin 16-Gb DDR5 SDRAM With a Phase Rotator-ILO DLL, High-Speed SerDes, and DFE/FFE Equalization Scheme for Rx/Tx
- A 1.33-Tb 4-Bit/Cell 3-D Flash Memory on a 96-Word-Line-Layer Technology
- A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors
- Embedded 1-Mb ReRAM-Based Computing-in- Memory Macro With Multibit Input and Weight for CNN-Based AI Edge Processors
- Nonvolatile Spintronic Memory Cells for Neural Networks
- Corrections to Synchronous Circuit Design With Beyond-CMOS Magnetoelectric Spin-Orbit Devices Toward 100-mV Logic
- Benchmarking Delay and Energy of Neural Inference Circuits
- Energy-Efficient Convolutional Neural Network Based on Cellular Neural Network Using Beyond-CMOS Technologies
See more issues of IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
- Staff List
- [Contributors]
- Welcome to the Fall 2019 Issue of the IEEE Solid-State Circuits Magazine
- Reflections [President's Corner]
- Industry Research [Associate Editor's View]
- The Ring Oscillator [A Circuit for All Seasons]
- The Signal Journey [Circuit Intuitions]
- Wake-Up Radio for Low-Power Internet of Things Applications: An Alternative Method to Coordinate Data Transfers
- Peeking Into the Black Box: A Tutorial on Automated Design Optimization and Parameter Search
- Plugging Electronics Into Minds: Recent Trends and Advances in Neural Interface Microsystems
- Unraveling the Brain With High-Density CMOS Neural Probes: Tackling the Challenges of Neural Interfacing
- Leaving Your Legacy: You Don't Need to Win a Nobel Prize to Inspire the Next Generation
- Design Technology Co-Optimization: Tradeoffs for Building the Best Processor
- IEEE SSCS Switzerland Chapter Sponsors ICNF 2019 [Chapters]
- OSU Wins Its First Title at SOCCER [Chapters]
- DL Prof. Kaushik Sengupta Speaks at IEEE SSCS Beijing Chapter [Chapters]
- IEEE SSCS USTC Student Chapter Organizes Summer Trip [Chapters]
- IEEE SSCS Leuven Student Chapter Organizes the First Microelectronics Micro Symposium [Chapters]
- IEEE SSCS Tainan Chapter Hosts DL Makoto Takamiya [Chapters]
- Dr. Marc Pons Gives Lecture at IEEE SSCS Switzerland Chapter [Chapters]
Aims & Scope - This new electronic publication provides relevant references pertaining to RFIC technology, paired with value-added editorial commentary from technology experts. The RFIC Virtual Journal aims to be the leading focal point on radio frequency integrated circuits from a worldwide perspective by collecting and disseminating knowledge on theory; enabling technologies, design methodologies, fabrication, testing of radio frequency integrated circuits, and systems; and determining which process signals to be transmitted or received through wireless communication.
To access this journal content have your IEEE Xplore login information ready and click here.
- A 0.58-to-0.9-V Input 0.53-V Output 2.4-
$mu$ - A Cryogenic CMOS Parametric Amplifier
- A 117-dB In-Band CMRR 98.5-dB SNR Capacitance-to-Digital Converter for Sub-nm Displacement Sensing With an Electrically Floating Target
- A 2.6 TOPS/W 16-Bit Fixed-Point Convolutional Neural Network Learning Processor in 65-nm CMOS
- A 1-V 8.1-
$mu$ - Novel Pulse-Based Analog Divider With Digital Output