ISSCC 2026
Session 13
Other
AI-Enabled End-to-End Design in RFICs with Controllable Architectural Style from ‘Classical’ to ‘Non-Intuitive’ for mm-Wave/sub-THz LNAs
*Equally Credited Authors (ECAs) 1 Abstract This paper introduces a unified algorithmic design flow for low-noise amplifiers (LNAs), spanning specifications to layout and integrating topology, architecture, circuit, and
ISSCC 2025
Session 25
Other
AI-Enabled Design Space Discovery and End-to-end Synthesis for RFICs with Reinforcement Learning and Inverse Methods Demonstrating mm-Wave/sub-THz PAs between 30 and 120GHz
AI-enabled algorithmic flow for architecture discovery, circuit topology and parameter optimization for RFICs, particularly exploring design spaces beyond human intuition. RF and mmWave IC design is a complex iterative d
ISSCC 2024
Session 12
RF & Wireless
A mm-Wave/Sub-THz Synthesizer-Free Coherent Receiver with Phase Reconstruction Through Mixed-Signal Kramer-Kronig Processing
in the high mmWave and sub-THz frequencies can enable new applications in communication, sensing and imaging, if they can operate with low latency in high resource-constrained environments. In particular, for one-to-many
ISSCC 2021
Session 22
mm-Wave
THz Prism: One-Shot Simultaneous Multi-Node Angular Localization Using Spectrum-to-Space Mapping with 360-to-400GHz Broadband Transceiver and Dual-Port Integrated Leaky-Wave Antennas
*Equally-Credited Authors (ECAs) The spectrum above 100GHz is expected to spawn a generation of ultra-high-speed wireless links and intelligent sensing and imaging applications. They are meant to be supported through a h
ISSCC 2021
Session 18
Medical & Bio
CMOS-Driven Pneumatic-Free Scalable Microfluidics and Fluid Processing with Label-Free Cellular and Bio-Molecular Sensing Capability for an End-to-End Point-of-Care System
point-of-care (POC) molecular diagnostic platforms that encompass an end-to-end system (from sample fluid to diagnostic information) with the ability to allow rapid analysis on the spot. While POC sensing technologies ha
ISSCC 2020
Session 4
Wireless
Space-Time Modulated 71-to-76GHz mm-Wave Transmitter Array for Physically Secure Directional Wireless Links
Xi'an Jiaotong University, Xi'an, China *Equally-Credited Authors (ECAs) 1 2 Security in wireless networks has traditionally been addressed above the physical layer. With the expected proliferation of applications in 5G,
ISSCC 2017
Session 27
Medical & Bio
Fully Integrated Optical Spectrometer with 500-to-830nm Range in 65nm CMOS
Next-generation IoT systems are expected to be enabled by compact, low-cost, low-power, smart sensing devices that provide a wealth of information to build new applications and capabilities. Among sensing modalities, opt
ISSCC 2017
Session 15
Other
An Integrated Optical Physically Unclonable Function Using Process-Sensitive Sub-Wavelength Photonic Crystals in 65nm CMOS power meter to characterize the incident power, while the other half of the laser light shines uniformly on the chip under test. This setup is used to characterize the spectral responsivity of the photonic crystal, but is not required to generate responses for the PUF signature. The photonic structure itself serves as a linear polarizer that rejects incoming light in other polarization.
Physical unclonable function (PUF) is regarded as an emerging solution for reliable cryptography. Rather than storing secret keys in memories, the information of a PUF is extracted through amplification of the physically
ISSCC 2016
Session 25
mm-Wave
A 40-to-330GHz Synthesizer-Free THz Spectroscope-on-Chip Exploiting Electromagnetic Scattering
The terahertz band (0.3 to 3.0THz) has been found to be spectroscopically rich with many substances possessing strong and unique absorption signatures useful for chemical and biomedical sensing applications [1-4]. Photon
ISSCC 2016
Session 20
RF & Wireless
A Frequency-Reconfigurable mm-Wave Power Amplifier with Active-Impedance Synthesis in an Asymmetrical Non-Isolated Combiner
A frequency-agile mm-Wave power amplifier capable of reconfiguring itself to operate near-optimally over a wide range of tunable frequencies, yet producing output power >22dBm with PAE>20%, is useful for a wide range of
ISSCC 2015
Session 18
Digital Processors
A Matrix-Multiplying ADC Implementing a Machine-Learning Classifier Directly with Data Conversion
Embedded sensing systems conventionally perform A-to-D conversion followed by signal analysis. In many applications, the analysis of interest is inference (e.g., classification), but the sensor signals involved are too c