The team explains that, for example, by removing just eight contiguous carbon atoms from the hexagonal chicken-wire-like array of atoms in graphene, there are 66 different possible shapes that the resulting hole could have. When the number of atoms removed increases to 12, the number of possible shapes jumps to 3,226, and with 30 atoms removed, there are 400 billion possibilities — a number far beyond any reasonable possibility of simulation and analysis. Yet only a handful of these shapes are actually found in experiments, so the ability to predict which ones really occur could be of great use to researchers.
Describing the lack of information about which kinds of holes actually can form, Strano says, “What that did, practically speaking, is it made a disconnect between what you could simulate with a computer and what you could actually measure in the lab.” This new catalog of the shapes that are actually possible will make the search for materials for specific uses much more manageable, he says.
The ability to do the analysis relied on a number of tools that simply weren’t previously available. “You could not have solved this problem 10 years ago,” Strano says. But now, with the use of tools including chemical graph theory, accurate electronic-structure calculations, and high-resolution scanning transmission electron microscopy, the researchers have captured images of the defects showing the exact positions of the individual atoms".
The team refers to these holes in the lattice as “antimolecules” and describes them in terms of the shape that would be formed by the atoms that have been removed. This approach provides, for the first time, a simple and coherent framework for describing the whole set of these complex shapes. Previously, “if you were talking about these pores in the material, there was no way to identify the specific kind of hole involved". “Once people start creating these pores more often, it would be good to have a naming convention to identify them", the team adds.
This new catalog could help to open up a variety of potential applications. “Defects are both good and bad,” Strano explains. “Sometimes you want to prevent them,” because they weaken the material, but “other times you want to create them and control their sizes and shapes,” for example for DNA sequencing, where only certain specific molecules can pass through these holes. Another application might be quantum computing or communications devices where holes of a specific size and shape are tuned to emit photons of light of specific colors and energy levels.
In addition to their impact on a material’s mechanical properties, holes affect electronic, magnetic, and optical characteristics as well, MIT's Govind Rajan says.
“We think that this work will constitute a valuable tool” for research on defects in 2-D materials, Strano predicts, because it will allow researchers to home in on promising types of defects instead of having to sort through countless theoretically possible shapes “that you don’t care about at all, because they are so improbable they’ll never form.”
This work “addresses an important problem in 2-D nanoscale systems,” says Alex Zettl, a professor of materials science at the University of California at Berkeley, who was not involved in this research. “Since the defect isomer possibilities become rapidly intractable with growing atom vacancy number, a brute-force attack is fruitless. This new cataloging and probabilistic ranking approach is elegant, relevant, and predictive.”
He says that this work provides “a solid theoretical foundation,” and since engineering of 2-D materials is becoming a reality, this system “is sure to become accepted and widely adopted.”