Power Electronics
Graphene an extraordinary material isolated a decade ago has the potential to enable technologies that consume a fraction of the energy used by todayrsquos memory chips Image courtesy of Thinkstock

Graphene, an extraordinary material isolated a decade ago, has the potential to enable technologies that consume a fraction of the energy used by today’s memory chips. (Image courtesy of Thinkstock).

Graphene Key to High-Density, Energy-Efficient Memory Chips, Stanford Engineers Say

The memory chips in phones, laptops, and other electronic devices need to be small, fast, and draw as little power as possible. For years, silicon chips have delivered on that promise. But to dramatically extend the battery life of mobile gadgets, and to create data centers that use far less energy, engineers are developing memory chips based on new nanomaterials with capabilities that silicon can’t match.

In three recent experiments, Stanford engineers demonstrated post-silicon materials and technologies that store more data per square inch and use a fraction of the energy of today’s memory chips.

The unifying thread in all three experiments is graphene, an extraordinary material isolated a decade ago but which had, until now, relatively few practical applications in electronics.

A purified relative of pencil lead, graphene is formed when carbon atoms link together into sheets just one atom thick. Atom-thin graphene is stronger than steel, as conductive as copper, and has thermal properties useful in nanoscale electronics.

“Graphene is the star of this research,” says Eric Pop, associate professor of electrical engineering and a contributor to two of the three memory projects. “With these new storage technologies, it would be conceivable to design a smartphone that could store 10 times as much data, using less battery power, than the memory we use today.”

Professor H.-S. Philip Wong and Pop led an international group of collaborators who describe three graphene-centric memory technologies in separate articles in Nature Communications, Nano Letters and Applied Physics Letters.

While consumers might appreciate the mobile application of these new technologies, engineers think post-silicon memory chips may also transform server farms that must store and deliver quick access to the vast quantities of data stored in the cloud.

“Data storage has become a significant, large-scale consumer of electricity, and new solid-state memory technologies such as these could also transform cloud computing,” Wong says.

Memory Makeover

Memory chips store data as a string of ones and zeroes. Today, most memory chips are based on silicon, and come in two basic types—volatile and non-volatile. Volatile memory, such as random access memory (RAM), offers fast but temporary storage. When the power shuts off, the zeros and ones vanish.

Non-volatile memory, such as the flash memory in cell phones, is slow but stable. Even if the battery expires, the data remains.

The Stanford-led engineers showed how to create memory with the speed of RAM and the persistence of flash by using new materials and technologies that require less energy than silicon to store the zeroes and ones.

In Nature Communications, Wong worked with post-doctoral fellow Seunghyun Lee and PhD. candidate Joon Sohn on a technique known as resistive random-access memory, or RRAM.

In RRAM chips, tiny jolts of electricity switch certain metal oxides between resistive and conductive states. When the metal oxides resist the flow of electrons, that creates a zero. When the materials conduct electrons, that is a one. RRAM is fast, like volatile silicon memory, but like flash memory it retains stored data when the power is turned off.

The Stanford team pioneered the use of graphene as the conductive metal to carry the tiny jolts that switch the resistive materials between zero and one. Unlike conventional metals, graphene remains conductive at atomically thin dimensions. This allows engineers to make each RRAM cell much smaller than was previously possible, leading to chips that hold far more data than was possible with RRAM based on conventional metal conductors.

This work demonstrates the possibility of constructing non-volatile RRAM while densely storing data without consuming more energy.

New Phases of Memory

In two other papers, published in Applied Physics Letters and Nano Letters, Pop and Wong led research teams that used graphene to make advances with a different but conceptually similar storage approach called “phase-change memory.”

In phase-change memory, a tiny jolt of electricity causes an alloy of germanium, antimony, and tellurium to change its atomic structure. One jolt tweaks the atoms into a regular, crystalline structure that allows electrons to flow, notated as a digital one. A second jolt makes the structure irregular, or amorphous, creating a zero. Each jolt quickly toggles the phase-change material from one to zero. Like RRAM, it retains its stored data when the power is turned off.

In the Applied Physics Letters paper, Pop led a team that included former students at the University of Illinois Urbana-Champaign and collaborators at the Universities of Modena and Bologna in Italy. They used ribbons of graphene as ultra-thin electrodes to intersect phase-change memory cells, like skewers spearing marshmallows. This setup also exploited the atomically thin edge of graphene to push current into the material, and change its phase, again in an extremely energy-efficient manner.

In the Nano Letters paper, Pop and Wong used both the electrical and thermal properties of graphene in a phase-change memory chip. However, in a twist, here they used the surface of the graphene sheet to contact the phase-change memory alloy. In essence, the graphene prevented the heat from leaking out of the phase-change material, creating a more energy-efficient memory cell.

These studies show that graphene is far from a laboratory curiosity, Pop and Wong say. The material’s unique electrical, thermal, and atomically thin properties can be utilized to create more energy-efficient data storage. Such properties do not exist in the silicon world, yet could potentially transform the way we store and access our digital data in the future.

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