Heat energy leaps through empty space, thanks to quantum weirdness

Vacuum chamber used to test heat transfer

12/11/2019 - In a surprising new study, Berkeley researchers led by Xiang Zhang, professor of mechanical engineering, showed that heat energy can travel through a complete vacuum thanks to invisible quantum fluctuations, a discovery that could have profound implications for the design of computer chips.

Building a world where data privacy exists

Dawn Song in her office

11/18/2019 New York Times - Electrical engineering and computer sciences professor Dawn Song, a leading expert in computer security and trustworthy artificial intelligence, is building a platform in which people control their own data online and are compensated for its use by corporations.

Weill Neurohub to fuel race for new brain disease treatments

11/14/2019 Berkeley News - The newly launched Weill Neurohub, supported with a $106 million gift from the Weill Family Foundation, will bring together researchers in engineering, computer science, physics, chemistry and mathematics to speed the development of new therapies for brain and neural diseases.

At fault

close-up of the fault interface, as viewed through the slider block from a high angle.

10/25/2019 A team of earthquake engineers, working out of the lab of professor Steven Glaser, is taking research on asperities to a new level by studying fault mechanics at nanoscale.

A surprising twist

Twisted helixes

10/25/2019 Materials scientists have created new inorganic crystals made of stacks of atomically thin sheets that spiral like a card deck.

Mirror mirror

Voyager spacecraft

10/25/2019 Researchers broke another record in thermophotovoltaics, raising the efficiency of converting heat into electricity from 23% to 29%.

Mass-producing biomaterials

Illustration detail of human cisculatory system

10/25/2019 A new 3D printing technique may allow whole organs, living tissue, bone and blood vessels to be printed on demand.

Better eye screening

Eye exams being performed at a hospital in China.

10/25/2019 Researchers from the RADAR Lab have developed algorithms that can help with the diagnosis of diabetic retinopathy—the most common cause of vision loss among people with diabetes—by detecting features in retinal images with better than 97% accuracy.