The Berkeley Emerging Technologies Research (BETR) Center is a hub of physical electronics research at the University of California, Berkeley.

Through research in materials, processes, devices and integrated systems, the BETR Center drives innovation toward a vision of global ambient intelligence.

BETR Membership

BETR membership provides a range of exclusive benefits, including access to pre-publication research, newly developed technologies, seminars, students and postdocs, and much more.

BETR Symposium '26
FET 100 Years

The 2026 BETR Symposium will be held on May 20 at the UC Berkeley campus.

This year's event will celebrate the 100-year anniversary of the field effect transistor and will bring together experts from industry and academia

News & Highlights

Discovery of Ferroelectricity in Ultrathin Titanium Dioxide

Led by BETR co-Director Prof. Sayeef Salahuddin, a UC Berkeley and LBNL research team (including BETR co-Director Prof. Ramesh) reported a major breakthrough in the journal Science by discovering a thickness-dependent dielectric-to-ferroelectric phase transition in titanium dioxide. The unique properties of this new phase, which can be grown by low-temperature atomic layer deposition enables new avenues for 3D integrated electronics.

Save-the-Date: 2026 BETR Symposium

The 2026 BETR Symposium will take place on May 20 in the Banatao Auditorium (Sutardja Dai Hall) on the UC Berkeley campus. As UC Berkeley’s premier hub for academia-industry collaborations in physical electronics research, we expect the BETR Symposium to again bring together attendees from a wide range of industry, national labs, and academic institutions for a day of networking, exchanging ideas, and building partnerships. Registration will open on April 15.

Spectral Kernel Machines

The research group of BETR co-Director Prof. Ali Javey, in collaboration with colleagues at LBNL and UCLA, has developed an entirely new approach to intelligent imaging and sensing using spectral kernel machines (SKMs). As reported in the journal Science, SKMs integrate spectral machine learning analysis directly into the photodetector and offer new applications in mobile devices, robotics, and satellite technologies.