Circuits

The Circuits group explores topics ranging from complex systems-on-a-chip (SoC) design to nanoscale semiconductor devices, encompassing both IC design and computer-aided design tools. Research areas include ultra high-speed device modeling and technology; CMOS radiofrequency circuits; high-performance mixed-signal circuits and data converters; reliability issues in integrated circuits; algorithms; low-power SoC and FPGA design methodologies; and robust robust and energy-efficient integrated circuits and systems for DSP and communications.

Research

Accurate Device Models

These models are critical for designing next-generation communication and computing systems in nanoscale processes technologies. The Circuits group developed both the UIUCICF CMOS Model, which predicts harmonic distortion in power amplifier and mixed signal circuits employed in wireless communication systems, and the UIUC-DDS CMOS model, which incorporates short-channel high field dipole diffusion noise source in BSIM model for accurate noise prediction in the microwave and millimeterwave frequencies.

Electrostatic Discharge Control

Researchers developed a four-pronged approach to combat electrostatic discharge (ESD), the most serious reliability hazard for modern integrated circuits. This includes the development of new ESD protection devices, circuit design, compact modeling and simulations, and test design. Recently, researchers developed the capability to do full-chip simulation of Charged Device Model (CDM) ESD events. These simulations enabled researchers to develop a new technique to protect internal gates from ESD without impacting performance.

Analog-to-Digital Converter

Energy-efficient and high-performance SoCs enable emerging applications. Researchers have demonstrated a low-power 12-bit, 45-MS/s CMOS analog-to-digital converter, achieving a record energy-efficiency of 30-fJ/conversion-step by using digital equalization and perturbative adaptive learning rules.
 

Faculty

Group Contact:
Jeni Summers: 418 CSL
jsummrs@illinois.edu
Phone: (217) 300-3156

Research Faculty

 
 

Circuits Research News

Rosenbaum discusses how machine learning could impact chip manufacturing

Rosenbaum discusses how machine learning could impact chip manufacturing

07/21/2017 - 15:30   CSL Professor Elyse Rosenbaum is exploring how teachable tools can help speed up and refine chip manufacturing.
Illinois to lead NSF-funded Center for Advanced Electronics through Machine Lear

Illinois to lead NSF-funded Center for Advanced Electronics through Machine Learning

08/01/2016 - 19:00   The new center aims to speed up the design and verification of microelectronic circuits and systems, reducing development cost and time-to-market for manufacturers of microelectronic products, especially integrated circuits.
CSL Professor Milton Feng

Light helps the transistor laser switch faster

03/09/2016 - 18:00   A new study led by CSL Professor Milton Feng found that in the transistor laser the light and electrons spur one another on to faster switching speeds than any devices available.
John Tucker

Remembering Professor Emeritus John Tucker

06/05/2014 - 19:00   No matter the project, even the most heralded electronic devices are based on fundamental, well-established theories. There are basic tenants like Ohm’s law, taught in high-school physics classes, and there are concepts like the Tucker Theory, which is complex, yet essential for certain applications. The latter is named for Professor Emeritus John R. Tucker, who passed away in April, leaving an exceptional research legacy that bridged the boundary between theoretical physics and circuit development.
Deming Chen

Researchers release first SPICE-compatible compact models for graphene-based digital circuits

05/06/2014 - 19:00   Before the invention of transistors, computers in the 1960s were bulky, unreliable and created tremendous amounts of heat. However, with the advent of transistors and their aggressive scaling, computers today contain millions, or even billions, of transistors to complete tasks and engineers are able to pack them into small spaces such as phones, tablets, or sensors.