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Move over, silicon switches: There's a new way to compute

Date:
May 8, 2019
Source:
NYU Tandon School of Engineering
Summary:
Researchers have introduced a voltage-controlled topological spin switch for logic and memory devices, such as computer hard drives, that now use nanomagnetic mechanisms to store and manipulate information. Unlike silicon transistors, these devices require no energy to maintain their magnetic state: Energy is needed only for reading and writing information. The researchers' innovation greatly reduces the energy and heat used during such reading and writing processes, and may improve security, as well.
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FULL STORY

Logic and memory devices, such as the hard drives in computers, now use nanomagnetic mechanisms to store and manipulate information. Unlike silicon transistors, which have fundamental efficiency limitations, they require no energy to maintain their magnetic state: Energy is needed only for reading and writing information.

One method of controlling magnetism uses electrical current that transports spin to write information, but this usually involves flowing charge. Because this generates heat and energy loss, the costs can be enormous, particularly in the case of large server farms or in applications like artificial intelligence, which require massive amounts of memory. Spin, however, can be transported without a charge with the use of a topological insulator -- a material whose interior is insulating but that can support the flow of electrons on its surface.

In a newly published Physical Review Applied paper, researchers from New York University introduce a voltage-controlled topological spin switch (vTOPSS) that requires only electric fields, rather than currents, to switch between two Boolean logic states, greatly reducing the heat generated and energy used. The team is comprised of Shaloo Rakheja, an assistant professor of electrical and computer engineering at the NYU Tandon School of Engineering, and Andrew D. Kent, an NYU professor of physics and director of the University's Center for Quantum Phenomena, along Michael E. Flatté, a professor at the University of Iowa.

Rakheja employs a simple analogy to explain the impact of switching between two states more effectively. "Imagine if you were preparing a recipe and had to go into a different room anytime you needed an ingredient before returning to the kitchen to add it," she says. "It's just as inefficient when the portions of computing hardware needed to do a calculation and the portions needed to store it are not well integrated."

While heterostructure devices like theirs, composed of a magnetic insulator and topological insulator, are still slightly slower than silicon transistors, vTOPSS increases functionality and circuit design possibilities, as it has integrated logic and non-volatile memory. "This is ultimately a matter of user experience and added features," Rakheja says.

Because vTOPPS will reduce reliance on cloud memory, it also holds the potential for making computing safer, as hackers will have greater difficulty gaining access to a system's hardware. Next steps will include further optimization at the materials and design level to improve the switching speed, as well as developing prototypes.


Story Source:

Materials provided by NYU Tandon School of Engineering. Note: Content may be edited for style and length.


Journal Reference:

  1. Shaloo Rakheja, Michael E. Flatté, Andrew D. Kent. Voltage-Controlled Topological Spin Switch for Ultralow-Energy Computing: Performance Modeling and Benchmarking. Physical Review Applied, 2019; 11 (5) DOI: 10.1103/PhysRevApplied.11.054009

Cite This Page:

NYU Tandon School of Engineering. "Move over, silicon switches: There's a new way to compute." ScienceDaily. ScienceDaily, 8 May 2019. <www.sciencedaily.com/releases/2019/05/190508093719.htm>.
NYU Tandon School of Engineering. (2019, May 8). Move over, silicon switches: There's a new way to compute. ScienceDaily. Retrieved June 24, 2024 from www.sciencedaily.com/releases/2019/05/190508093719.htm
NYU Tandon School of Engineering. "Move over, silicon switches: There's a new way to compute." ScienceDaily. www.sciencedaily.com/releases/2019/05/190508093719.htm (accessed June 24, 2024).

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