Fundamental limits in computing:

The overarching goal of our research program is to understand how to design and fabricate scaled, compatible electronic devices and systems that can operate close to the fundamental physical limits of computing and even overcome those. Having driven the information revolution over the last couple of decades, CMOS scaling has come to end. Read more…

Emerging materials for computing:

We utilize certain classes of materials that are characterized by distinct phase transitions and order parameters. Examples of such materials include ferroelectrics, antiferroelectrics, and strongly correlated systems. Our focus is to engineer long-range interactions & correlated phenomena in these materials to bring in new physics and functionalities in nanoelectronic devices. Read more…

Primitives for brain-inspired computing, AI cores and non-von Neumann architectures:

Big data applications driven by machine learning and artificial intelligence underpin the current paradigm of computing. Yet, handling these massive data sets in conventional von Neumann computers leads to significant loss of performance and increase in power dissipation to shuttle the data between the logic and different levels in the memory hierarchy. Read more…