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Two-dimensional (2D) semiconductors are promising for quantum computing and future electronics. Now, researchers can convert metallic gold into semiconductor and customize the material atom-by-atom on boron nitride nanotubes. CREDIT Bill Tembreull/Michigan Tech

Abstract:
Two-dimensional (2D) semiconductors are promising for quantum computing and future electronics. Now, researchers can convert metallic gold into semiconductor and customize the material atom-by-atom on boron nitride nanotubes.

2D gold quantum dots are atomically tunable with nanotubes

Houghton, MI | Posted on April 11th, 2019

Gold is a conductive material already widely used as interconnects in electronic devices. As electronics have gotten smaller and more powerful, the semiconducting materials involved have also shrunk. However, computers have gotten about as small as they can with existing designs -- to break the barrier, researchers dive into the physics underlying quantum computing and the unusual behaviors of gold in quantum mechanics.

Researchers can convert gold into semiconducting quantum dots made of a single layer of atoms. Their energy gap, or bandgap, is formed by the quantum confinement -- a quantum effect when materials behave like atoms as their sizes get so small approaching the molecular scale. These 2D gold quantum dots can be used for electronics with a bandgap that is tunable atom-by-atom.

Making the dots with monolayer of atoms is tricky and the bigger challenge is customizing their properties. When laid out on boron nitride nanotubes, researchers from Michigan Technological University have found that they can get gold quantum dots to do the near-impossible. The mechanisms behind getting gold dots to clump atom-by-atom is the focus of their new paper, recently published in ACS Nano.

Yoke Khin Yap, professor of physics at Michigan Tech, led the study. He explains that the behavior his team observed -- atomic-level manipulation of gold quantum dots -- can be seen with a scanning transmission electron microscope (STEM). The STEM's high-powered beam of electrons enables researchers like Yap to watch atomic movement in real-time and the view reveals how gold atoms interact with the surface of boron nitride nanotubes. Basically, the gold atoms glide along the surface of the nanotubes and, they stabilize in a hover just above the hexagon honeycomb of the boron nitride nanotubes.

The atomic skiing and stopping is related to the so-called energy selective deposition. In the lab, the team takes an array of boron nitride nanotubes and runs a gold-laden mist past it; the gold atoms in the mist either stick as multilayered nanoparticles or bounce off the nanotube, but some of the more energetic ones glide along the circumference of the nanotube and stabilize, then start to clump into monolayers of gold quantum dots. The team shows that gold preferentially deposits behind other gold particles that have stabilized.

"The surface of boron nitride nanotubes are atomically smooth, there are no defects on the surface, it's a neatly arranged honeycomb," Yap said, adding that the nanotubes are chemically inert and there is no physical bond between the nanotubes and gold atoms. "It's much like skiing: You can't ski on a bumpy and sticky hill with no snow, ideal conditions make it much better. The smooth surface of the nanotubes is like fresh powder."

The search for new materials for future electronics and quantum computing has led researchers down many paths. Yap hopes that by demonstrating the effectiveness of gold, other researchers will be inspired to pay attention to other metal monolayers at the molecular-scale.

"This is a dream nanotechnology," Yap said. "It is a molecular-scale technology tunable by atom with an ideal bandgap in the visible light spectra. There is a lot of promise in electronic and optical devices."

The team's next steps include further characterization and incorporating device fabrication to demonstrate all-metal electronics. Potentially, monolayers of metal atoms could make up the entirety of future electronics, which will save a lot of manufacturing energy and materials.

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This work was performed in collaboration Ravindra Pandey, professor of physics at Michigan tech, whose team contributed the theoretical model, and Juan-Carlos Idrobo, scientist at the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory.

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