Lab Manager | Run Your Lab Like a Business

News

Researchers Sew Atomic Lattices Seamlessly Together

Technique allows scientists to create atomically-thin fabrics

by University of Chicago
Register for free to listen to this article
Listen with Speechify
0:00
5:00

Researchers sew atomic lattices seamlessly together A new study reveals a technique to ‘sew’ two patches of crystals seamlessly together to create atomically-thin fabrics.Image Courtesy of Saien Xie

Joining different kinds of materials can lead to all kinds of breakthroughs. It’s an essential skill that allowed humans to make everything from skyscrapers (by reinforcing concrete with steel) to solar cells (by layering materials to herd along electrons).

In electronics, joining different materials produces “heterojunctions”—the most fundamental components in solar cells, LEDs, or computer chips. The smoother the seam between two materials, the more easily electrons flow across it; essential for how well the electronic devices function. But they’re made up of crystals—rigid lattices of atoms, which may have very different spacing—and they don’t take kindly to being mashed together.

Get training in Risk Assessing and Characterizing and earn CEUs.One of over 25 IACET-accredited courses in the Academy.
Risk Assessing and Characterizing Course

In a study published March 8 in Science, scientists with the University of Chicago and Cornell University revealed a technique to “sew” two patches of crystals seamlessly together at the atomic level to create atomically-thin fabrics.

The team wanted to do this by stitching different fabric-like, three-atom-thick crystals. “Usually these are grown in stages under very different conditions; grow one material first, stop the growth, change the condition, and start it again to grow another material,” said Jiwoong Park, professor of chemistry in the James Franck Institute and the Institute for Molecular Engineering and a lead author on the study.

Related Article: Scientists Craft a Semiconductor Junction Only Three Atoms Thick

Instead, they developed a new process to find the perfect window that would work for both materials in a constant environment, so they could grow the entire crystal in a single session.

The resulting single-layer materials are the most perfectly aligned ever grown, Park said. The gentler transition meant that at the points where the two lattices meet, one lattice stretches or grows to meet the other—instead of leaving holes or other defects.

The atomic seams are so tight, in fact, that when they looked up close using scanning electron microscopes, they saw that the larger of the two materials puckers a little around the joint.

They decided to test its performance in one of the most widely used electronic devices: a diode. Two different kinds of material are joined, and electrons are supposed to be able to flow one way through the “fabric,” but not the other.

The diode lit up. “It was exciting to see these three-atom-thick LEDs glowing. We saw excellent performance—the best known for these types of materials,” said Saien Xie, a graduate student and first author on the paper.

The discovery opens up some interesting ideas for electronics. Devices like LEDs are currently stacked in layers—3-D versus 2-D, and are usually on a rigid surface. But Park said the new technique could open up new configurations, like flexible LEDs or atoms-thick 2-D circuits that work both horizontally and laterally.

He also noted that the stretching and compressing changed the optical properties—the color—of the crystals due to the quantum mechanical effects. This suggests potential for light sensors and LEDs that could be tuned to different colors, for example, or strain-sensing fabrics that change color as they’re stretched.

“This is so unknown that we don’t even know all the possibilities it holds yet,” Park said. “Even two years ago it would have been unimaginable.”

This work was carried out in collaboration with co-lead authors David Muller and Robert A. DiStasio Jr. at Cornell University. Other coauthors included University of Chicago postdoctoral scholars Kibum Kang and Chibeom Park and graduate student Preeti Poddar, as well as Cornell postdoctoral scholar Ka Un Lao and graduate students Lujie Huang, Lijie Tu and Yimo Han. The study used computing resources at the Argonne Leadership Computing Facility at Argonne National Laboratory.