Scientists seek silicon’s successor

Share via AddThis
Posted August 9, 2013

In the hunt for a sequel to silicon, scientists at the SLAC National Accelerator Lab have flipped an “on-off” switch in the mineral magnetite that is far faster than today’s transistors.

Computer circuits can’t be made ever-smaller and faster with existing materials. So researchers at the Stanford-operated lab are preparing for the day when the famed Moore’s Law hits the speed limit – that is, the number of transistors on a circuit no longer double every 1.5 years, as forecast by Intel co-founder Gordon Moore.

Magnetite, a naturally occurring mineral, isn’t the answer, but it puts science one step closer.

“Miniaturization requires new materials,” said Hermann Durr, the lead investigator of the SLAC team. “For me, this class of material is fascinating.”

Using the lab’s high-powered Linac Coherent Light Source X-ray laser, the scientists found that it takes just one-trillionth of a second to switch magnetite’s electrical conductivity from “on” to “off.”

That’s thousands of times faster than silicon chip transistors.

Magnetite is what gives magnets their pull. It is a common mineral – a type of iron oxide – found in the black sands of beaches and elsewhere.

In the experiment, the laser struck the mineral – and in a tiny split of a second, the magnetite’s electronic structure rearranged into “islands” of electrical nonconductivity surrounded by conductive regions. The findings are reported in the latest issue of the journal Nature Materials.

Read more at: Phys.org



54,018 science & technology articles

Categories

Our Articles (see all)

General News

Follow us

Facebook   Twitter   Pinterest   StumbleUpon   Plurk
Google+   Tumblr   Delicious   RSS   Newsletter via Email

Featured Video (see all)


Using static electricity, insect-sized flying robots can land and stick to surfaces
Small drones need to stay aloft do their jobs — whether that’s searching for dangerous gas leaks or…

Featured Image (see all)


Robots Get Creative To Cut Through Clutter
Clutter is a special challenge for robots, but new Carnegie Mellon University software is helping robots cope, whether…