Solving the puzzle of 2D disorder

使用一个惊人的类似的过程,一个interdisciplinary team of Northwestern Engineering researchers pieced together a method to determine how different 2D materials respond to disorder -- testing some materials that could possibly replace silicon in new transistors and sensors.

"The analysis method will lead to a better understanding of disorder potentials in 2D materials to help make faster transistors, as well as better gas sensors that can more easily discriminate different gases," said Matthew Grayson, professor of electrical and computer engineering at the McCormick School of Engineering, and one of the study's authors.

In the paper "Field-effect Conductivity Scaling for Two-dimensional Materials with Tunable Impurity Density" published June 16 in the journal2D Materials, the investigators developed a method to determine the fingerprint of the neighboring disorder as seen by a 2D material.

在科学中,障碍是指缺陷或不arby charges that might scatter the otherwise straight path of an electron. 2D materials like graphene are particularly susceptible to nearby disorder because they are literally several atoms thick, at most.

"Disorder characterization is paramount in understanding and improving the performance of 2D materials," Grayson said. "This paper shows that there exists a universal curve that serves as a fingerprint of that disorder. Even though different doses of disorder appear to result in completely different behaviors, these behaviors all represent individual threads of an overall tapestry."

This is where the similarity comes in between the science and games you play on your phone or printed newspaper.

Using 2D material samples developed by the Hersam and Dravid groups, Grayson and his team implemented a new method to measure electrical conductivity curves using a cryostat, a device that preserves samples at low temperatures for microscopic examination. At room temperature, the charges that constitute disorder are free to shift around until they reach equilibrium, but when frozen in the cryostat, the disorder is frozen in place.

Each individual conductivity curve resembles a puzzle piece. The researchers then utilized an empirical rule to piece together all the curves until they formed a complete a picture.

Sound familiar?

They then used physical arguments to understand why this rule works as well as it does. As a result, they solved the riddle of how each of the materials under study respond to a specific class of imperfections.

"The impressive continuity of this picture when all the puzzle pieces were in place inspired us to dig deeper into the physics to understand what the underlying reason must be for this behavior," Grayson said. "The same mentality that the general public uses to solve their daily Wordle or crossword puzzle is applied here."

These findings also have implications for 2D materials research moving forward.

"Instead of seeing individual devices made from the same 2D materials as a bunch of puzzle pieces that each have to be studied independently, you can now locate where a given sample fits into the previously solved puzzle," Grayson said, "so that each individual piece is instantly recognized as part of a greater picture.