New Hybrid Material for Spin Transistors of the Future
January 12, 2017 | JSCEstimated reading time: 2 minutes

Spin-based transistors could replace conventional transistors in the future. Spin transistors require significantly less energy, but industrial conversion has so far failed due to the lack of a suitable material. The young scientist Zeila Zanolli has now found a novel combination of graphite and barium manganese oxide, which meets the contradictory requirements. The hybrid material allows both precise spin alignment and good spin transport, as demonstrated by simulations on supercomputers at the Jülich Supercomputing Center (JSC).
Transistors are probably the most important basic building blocks of modern memory sticks and processors. Up to several billions of them are on current computer chips. The current types of transis- tors use only the electric charge of the electron to switch from one state to the other. The switching processes in a spin-based transistor, on the other hand, are based on changes in the electron spin, like all applications in the field of spintronics. The energy to be applied for this purpose would be an order of magnitude lower than that required for switching a conventional transistor, which would result in immense energy savings.
However, the implementation of spin transistors is made more difficult by contrasting material requirements. Traditional semiconductors, such as those currently used in chip manufacturing, offer a strong spin-orbit coupling: the electron spin can be aligned well with an external field. However, the spin polarization achieved in this way is only extremely short distances and can not be maintained sufficiently long to manipulate the spins subsequently. In novel carbon-based semiconductors, such as carbon nanotubes or graphene, the spin polarization is retained over long distances, but can not be controlled externally.
But the advantages of both material classes are complementary when combining graphs with a magnetic semiconductor. The young scientist Zeila Zanolli was able to demonstrate the remarkable quality of a Marie Curie Fellowship at Forschungszentrum Jülich at the Peter Grünberg Institute (PGI-1). The Jülich supercomputers JUQUEEN and JURECA, which are among the fastest computers in Europe, were used for the computationally intensive analysis. Zanolli, who is now headed by the DFG research group Nanospintronics at RWTH Aachen University, was able to demonstrate with the help of computer simulations: the new material combination "inherits" the great spin propagation length of the graphene. At the same time, the interaction is so strong that the polarization of the electron spin is transferred to the graph by the manganese atoms.
Suggested Items
Rules of Thumb: Design007 Magazine, November 2024
11/11/2024 | I-Connect007 Editorial TeamRules of thumb are everywhere, but there may be hundreds of rules of thumb for PCB design. They’re built on design formulas, fabricators’ limitations, and tribal knowledge. And unfortunately, some longtime rules of thumb should be avoided at all costs. How do we separate the wheat from the chaff, so to speak?
Connect the Dots: Best Practices for Prototyping
09/21/2023 | Matt Stevenson -- Column: Connect the DotsPCB prototyping is a critical juncture during an electronic device’s journey from concept to reality. Regardless of a project’s complexity, the process of transforming a design into a working board is often enlightening in terms of how a design can be improved before a PCB is ready for full production.
The Drive Toward UHDI and Substrates
09/20/2023 | I-Connect007 Editorial TeamPanasonic’s Darren Hitchcock spoke with the I-Connect007 Editorial Team on the complexities of moving toward ultra HDI manufacturing. As we learn in this conversation, the number of shifting constraints relative to traditional PCB fabrication is quite large and can sometimes conflict with each other.
Asia/Pacific AI Spending Surge to Reach a Projected $78 Billion by 2027
09/19/2023 | IDCAsia/Pacific spending on Artificial Intelligence (AI) ), including software, services, and hardware for AI-centric systems will grow to $78.4 billion in 2027, according to International Data Corporation's latest Worldwide Artificial Intelligence Spending Guide.
Intel to Sell Minority Stake in IMS Nanofabrication Business to TSMC
09/13/2023 | IntelIntel Corporation announced that it has agreed to sell an approximately 10% stake in the IMS Nanofabrication business to TSMC. TSMC’s investment values IMS at approximately $4.3 billion, consistent with the valuation of the recent stake sale to Bain Capital Special Situations.