Home Banner

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

September 24, 2021

OPUS Lab, in collaboration with Prof. Luke Theogarajan, receives IEE seed funding to build a scaled up p-computer using CMOS technology. 

September 18, 2021

Navid's paper "Computing with Invertible Logic: Combinatorial Optimization with Probabilistic Bits" has been accepted to the International Electron Devices Meeting (IEDM), 2021.  

July 29, 2021

We are thrilled to have Kemal Selçuk join the OPUS lab from Sabanci University. 


July 7, 2021

Andrea is investigating novel device opportunities for probabilistic computing. 

May 22, 2021

OPUS Lab receives NSF support to develop integrated nanodevices for probabilistic computing. 

April 28, 2021

for contributions to the theory and practice of using low barrier nanomagnets for probabilistic computing 

April 27, 2021

Sanaaya is working on alternative ways of executing probabilistic algorithms for p-computing. 

April 1, 2021

Waiting for Quantum Computing? Try Probabilistic Computing

(Illustration by Serge Bloch)

March 30, 2021

 "Naturally Probabilistic" Computing is highlighted by Purdue and UCSB ECE.  

(Illustration by Gwen Keraval)

March 25, 2021

Double-Free Layer MTJ concept appears in Physical Review Applied as Editor's Suggestion.

See the additional APS Physics coverage.