Graphene-hBN breakthrough to spur new LEDs, quantum computing
In a discovery that could speed research into next-generation electronics and LED devices, a University of Michigan research team has developed the first reliable, scalable method for growing single layers of hexagonal boron nitride on graphene.
The process, which can produce large sheets of high-quality hBN with the widely used molecular-beam epitaxy process, is detailed in a study in Advanced Materials.
Graphene-hBN structures can power LEDs that generate deep-UV light, which is impossible in today's LEDs, said Zetian Mi, U-M professor of electrical engineering and computer science and a corresponding author of the study. Deep-UV LEDs could drive smaller size and greater efficiency in a variety of devices including lasers and air purifiers.
"The technology used to generate deep-UV light today is mercury-xenon lamps, which are hot, bulky, inefficient and contain toxic materials," Mi said. "If we can generate that light with LEDs, we could see an efficiency revolution in UV devices similar to what we saw when LED light bulbs replaced incandescents."
Hexagonal boron nitride is the world's thinnest insulator while graphene is the thinnest of a class of materials called semimetals, which have highly malleable electrical properties and are important for their role in computers and other electronics.
Bonding hBN and graphene together in smooth, single-atom-thick layers unleashes a treasure trove of exotic properties. In addition to deep-UV LEDs, graphene-hBN structures could enable quantum computing devices, smaller and more efficient electronics and optoelectronics and a variety of other applications.
"Researchers have known about the properties of hBN for years, but in the past, the only way to get the thin sheets needed for research was to physically exfoliate them from a larger boron nitride crystal, which is labor-intensive and only yields tiny flakes of the material," Mi said. "Our process can grow atomic-scale-thin sheets of essentially any size, which opens a lot of exciting new research possibilities."
Because graphene and hBN are so thin, they can be used to build electronic devices that are much smaller and more energy-efficient than those available today. Layered structures of hBN and graphene can also exhibit exotic properties that could store information in quantum computing devices, like the ability to switch from a conductor to an insulator or support unusual electron spins.
While researchers have tried in the past to synthesize thin layers of hBN using methods like sputtering and chemical vapor deposition, they struggled to get the even, precisely ordered layers of atoms that are needed to bond correctly with the graphene layer.
"To get a useful product, you need consistent, ordered rows of hBN atoms that align with the graphene underneath, and previous efforts weren't able to achieve that," said Ping Wang, a postdoctoral researcher in electrical engineering and computer science. "Some of the hBN went down neatly, but many areas were disordered and randomly aligned."
The team, made up of electrical engineering and computer science, materials science and engineering, and physics researchers, discovered that neat rows of hBN atoms are more stable at high temperature than the undesirable jagged formations. Armed with that knowledge, Wang began experimenting with molecular-beam epitaxy, an industrial process that amounts to spraying individual atoms onto a substrate.
Wang used a terraced graphene substrate—essentially an atomic-scale staircase—and heated it to around 1600 degrees Celsius before spraying on individual boron and active nitrogen atoms. The result far exceeded the team's expectations, forming neatly ordered seams of hBN on the graphene's terraced edges, which expanded into wide ribbons of material.
"Experimenting with large amounts of pristine hBN was a distant dream for many years, but this discovery changes that," Mi said. "This is a big step toward the commercialization of 2D quantum structures."
This result would not have been possible without collaboration from a variety of disciplines. The mathematical theory that underpinned some of the work involved researchers in electrical engineering and computer science and materials science and engineering, from U-M and Yale University.
Mi's lab developed the process, synthesized the material and characterized its interactions with light. Then, materials scientists and engineers at U-M and collaborators at Ohio State University studied its structural and electrical properties in detail.
More information: Ping Wang et al, Scalable Synthesis of Monolayer Hexagonal Boron Nitride on Graphene with Giant Bandgap Renormalization, Advanced Materials (2022). DOI: 10.1002/adma.202201387
Journal information: Advanced Materials
Provided by University of Michigan