This graphic illustrates how the experimental memory technology stores data by shifting the relative position of three atomically thin layers of metal, depicted as gold balls. The swirling colors reveal how a shift in the middle layer affects the motion of electrons in a way that encodes digital ones and zeroes. Image: Ella Maru Studios.
This graphic illustrates how the experimental memory technology stores data by shifting the relative position of three atomically thin layers of metal, depicted as gold balls. The swirling colors reveal how a shift in the middle layer affects the motion of electrons in a way that encodes digital ones and zeroes. Image: Ella Maru Studios.

A Stanford University-led team has invented a way to store data by sliding atomically thin layers of metal over one another, an approach that could pack more data into less space than possible with silicon chips while also using less energy.

The research, led by Aaron Lindenberg, associate professor of materials science and engineering at Stanford University and at the SLAC National Accelerator Laboratory, would be a significant upgrade from the type of non-volatile memory storage that today's computers accomplish with silicon-based technologies like flash chips. Lindberg and his team report their work in a paper in Nature Physics.

The breakthrough is based on a newly discovered class of metals that form incredibly thin layers, in this case just three atoms thick. The researchers stacked these layers, made from a metal material known as tungsten ditelluride, like a nanoscale deck of cards. By injecting a tiny bit of electricity into the stack, they caused each odd-numbered layer to shift ever-so slightly relative to the even-numbered layers above and below it. This offset was permanent, or non-volatile, until another jolt of electricity caused the odd and even layers to realign once again.

"The arrangement of the layers becomes a method for encoding information," Lindenberg explains, creating the ones and zeros that store binary data. To read the digital data stored between these shifting layers of atoms, the researchers exploit a quantum property known as Berry curvature. This acts like a magnetic field to manipulate the electrons in the material so that the arrangement of the layers can be read without disturbing the stack.

Jun Xiao, a postdoctoral scholar in Lindenberg's lab and first author of the paper, said it takes very little energy to shift the layers back and forth. This means it should take much less energy to ‘write’ a zero or one to the new device than is required for today's non-volatile memory technologies. Furthermore, based on research the same group published in Nature last year, the sliding of the atomic layers can occur so rapidly that data storage could be accomplished more than 100 times faster than with current technologies.

The design of the prototype device was based in part on theoretical calculations contributed by co-authors Xiaofeng Qian, an assistant professor at Texas A&M University, and Hua Wang, a graduate student in his lab. After the researchers observed experimental results consistent with the theoretical predictions, they made further calculations that lead them to believe that further refinements to their design will greatly improve the storage capacity of this new approach. This could pave the way for a shift toward a new and far more powerful class of non-volatile memory using ultrathin 2D materials.

The team has patented their technology while they further refine their memory prototype and design. They also plan to seek out other 2D materials that could work even better as data storage mediums than tungsten ditelluride.

"The scientific bottom line here," Lindenberg says, "is that very slight adjustments to these ultrathin layers have a large influence on its functional properties. We can use that knowledge to engineer new and energy-efficient devices towards a sustainable and smart future."

This story is adapted from material from Stanford University, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier. Link to original source.