Small Tilt in Magnets Makes them Viable Memory Chips

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A research team led by Sayeef Salahuddin, an associate professor of electrical engineering and computer sciences, has found that tilting magnets slightly makes them easy to switch without an external magnetic field. This opens the door to a memory system that can be packed onto a microprocessor, a major step toward the goal of reducing energy dissipation in modern electronics.

“To reduce the power draw and increase the speed, we want to be able to manufacture a computer chip that includes memory so that it is close to the computational action,” said Salahuddin. “However, the physics needed to create long-term storage are not compatible with integrated circuits.”

Creating and switching polarity in magnets without an external magnetic field has been a key focus in the field of spintronics. Generating a magnetic field takes power and space, which is why magnets have not yet been integrated onto computer chips.

Instead, there are separate systems for long-term magnetic memory. These include a computer’s hard disk drive where data are stored, and the various kinds of random-access memory, or RAM, on the integrated circuits of the central processing unit, or CPU, where calculations and logic operations are performed.

A large portion of the energy used in computing is spent on transferring data from one type of memory to another. Doing that quickly takes more energy and generates more heat.

In past research, Salahuddin and his colleagues found that directing electrical current through the rare metal tantalum creates polarity in magnets without an external magnetic field. But the battle wasn’t over.

Packing a sufficient number of nanomagnets onto a chip meant aligning them perpendicularly, but that vertical orientation negated the switching effects of tantalum.

“We found that by tilting the magnet – just 2 degrees was enough – you get all the benefits of a high-density magnetic switch without the need for an external magnetic field,” said Salahuddin.

The study’s lead author is Long You, a research scholar in Salahuddin’s lab.

The Department of Energy, National Science Foundation Center for Energy Efficient Electronics Science, and the Semiconductor Technology Advanced Research Network’s Function Accelerated nanoMaterial Engineering Center (STARNET FAME) helped support this research.