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Our lab has a Physics-to-Systems focus that aims to exploit unique features of novel materials and phenomena to design and experimentally prototype efficient electronic circuits and architectures. Our philosophy is that such an interdisciplinary approach that connects materials, devices and circuits to architectures and algorithms is essential in the new era of electronics that will be driven by heterogeneous systems in domain-specific contexts. This is in stark contrast to the Moore’s Law-driven era that has been about optimizing and improving a single device, the field-effect transistor, to deliver more powerful computing systems. The new era of electronics calls for a new kind of engineer who needs to be deep in one field but also broad enough to be able to make connections to related disciplines.

 Join OPUS Lab!

We are recruiting!

 Research Areas

We extend algorithms and architectures that match features of emerging hardware to cater to the needs of computation.
Designing efficient circuits with new functionalities often involves mapping materials directly to applications.
We seek to translate emerging materials and phenomena into physics-based circuit models to design benchmark circuits.

 Recent News

July 16, 2022

We are thrilled to host Keito Kobayashi from Tohoku University as a visiting graduate student. 

July 5, 2022

We are excited to have Nihal Singh join our team! 

July 1, 2022

Kerem gives an overview of OPUS Lab's latest work on p-bits at UNAM. 

June 2, 2022

We are excited to share Sparse Ising Machines with p-bits are now out in Nature Electronics. Also check out the coverage by the College of Engineering. 
 

May 13, 2022

OPUS Undergraduate Researcher Andrea Ni has been selected as a Texas Instruments URP Scholar by SRC. Congratulations Andrea!

February 22, 2022

Andrea and Navid's paper shows how invertible logic with p-bits can be useful to solve maximum satisfiability problems using sophisticated optimization algorithms such as parallel tempering. 

January 31, 2022

We are awarded an ONR grant to work on Scalable Probabilistic Computers for Optimization and Quantum Simulation.

January 25, 2022

We are thrilled to welcome Andrea as a visiting PhD student! 

December 20, 2021

We are thrilled to have Shaila Niazi join our team!

November 1, 2021

OPUS Lab receives support from SAMSUNG in collaboration with Tohoku University.