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Advanced MaterialsSpintronics adds new dimension to semiconductor developmentProject lead: Walter L. Lambrecht, Ph.D., Case Western Reserve University “Paraphrasing P.A.M. Dirac, one could say that all chemistry and condensed matter physics was solved since the laws of quantum mechanics and the electromagnetic forces were established. Today’s computational materials physics attempts to make this bold statement a reality not only in principle, but in practice as well.” – Dr. Walter L. Lambrecht
“In semiconductors, one can possibly have far more detailed control over both the number of active electrons and their spin orientation in a device,” said Walter Lambrecht, Ph.D., professor of physics at Case Western Reserve University. “The problem is to find magnetic semiconductors that retain these distinct magnetic properties above room temperature.” These specialized semiconductors are created through a process called doping: manufacturing into the semiconductor small amounts of transition metals or rare-earth elements, which possess distinctive electronic properties. While most work in this field requires a small percentage of the dopant, gadolinium-doped gallium nitride has been found during experiments to exhibit the desired magnetic properties even for part-permillion levels. “We are accessing the computational resources of the Ohio Supercomputer Center to perform calculations of various possible irregularities in the atomic arrangement and studying their interaction with gadolinium in gallium-nitride to unravel the origin of this mysterious source of magnetism,” said Dr. Lambrecht.
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Spintronics – short for spin-based electronics – may soon provide tinier, faster and
more robust components for small electronic devices and computers. The spintronics
approach stores electronic data through magnetic properties caused by the spinning of
electrons, in addition to the fundamental electrical charge of electrons that is used by
more conventional computers. The spin charge is assigned a value of “up” or “down”
and, like the electrical charge, can be encoded with binary data.
