Developing unconventional computing architectures by bridging the gap between nanoelectronics and computational physics.
NanoComputing Research Lab (NRL) explores curiosity-driven adventurous scientific paths intertwining applied physics, information theory, VLSI design and engineering to bridge the gap between nanoelectronics and computational physics to transcend computing to an open, interactive and continuous learning adaptive system. Research activities cover aspects from modeling and simulation of novel nanomaterials (e.g., phase change, 1D/2D, etc.), emerging nanoscale devices and interconnects for performing design space exploration of disruptive technologies. We exploit these novel devices for unconventional computing paradigms such as neuromorphic computing, computing with physical systems and quantum computing.Read more
Meet some of our Researchers
Our most recent peer reviewed publications
Role of ambient temperature in modulation of behavior of vanadium dioxide volatile memristors and oscillators for neuromorphic applicationsScientific Reports (2022)
Algorithmic Radar, a Novel Low-Power Architecture for High-Accuracy PMCW Radar19th European Radar Conference, EuRAD 2022 (2022)
Capillary-force-driven self-assembly of carbon nanotubes: from ab initio calculations to modeling of self-assemblyNanoscale Advances (2022)