Materials science

Illustration of synthetic protein

Grand designs

04/14/20 — Researchers have created a synthetic material that is as effective as naturally occurring proteins in transporting molecules through membranes.
Amazonian freshwater fish, Arapaima gigas

Tough as scales

04/14/20 — A study has determined exactly what makes the scales of the Amazonian freshwater fish, Arapaima gigas, so tough.
Plate of cooked spaghetti

Is spaghetti the key to building a better robot?

01/22/20 — Studying how spaghetti reacts to water might offer clues to how robots built from flexible materials can better mimic human movement, according to Oliver O'Reilly, professor of mechanical engineering.
Gerbrand Ceder

Ceder peeks into the battery pipeline

12/16/19 Berkeley Lab — From cobalt-free to sodium-ion, Berkeley Lab scientist and MSE professor Gerbrand Ceder evaluates some of the most promising battery technologies in development.
Twisted helixes

A surprising twist

10/25/19 — Materials scientists have created new inorganic crystals made of stacks of atomically thin sheets that spiral like a card deck.
Piranha

Piranha-proof fish scales offer inspiration for armor

10/17/19 UCSD — UC Berkeley and UC San Diego material scientists have discovered the secret to Arapaima gigas's impermeable armor. The scales on this Amazonian freshwater fish could serve as inspiration for stronger, lightweight and flexible synthetic armors.
Engineering students pose with Oski

Berkeley Engineering is #3 in U.S. News rankings

09/09/19 U.S. News & World Report — Berkeley Engineering's undergraduate program was again ranked third overall and the top public engineering school by U.S. News & World Report. Eight individual engineering programs were ranked among the top 5 in their respective fields, and all were in the top 10.
Word cloud diagram of terms related to thermoelectric

Algorithms uncover hidden scientific knowledge

07/05/19 Berkeley Lab — A team of materials science researchers from Berkeley Lab and Berkeley Engineering has found that with minimal training, machine-learning text mining of the existing scientific literature can lead to new discoveries.