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Atomic-scale tailoring of graphene approaches macroscopic world
by Staff Writers
Vienna, Austria (SPX) Jun 18, 2021

Overview of the experiment. (a) Light microscopy image of a part of the as-prepared graphene sample on the SiN grid suspended over an array of 2.5 um holes. The inset shows a larger area of the sample with visible polymer residues used for navigating in the different instruments. Each suspended area that was characterized is labeled, and the three holes that were selected for complete analysis are marked with colored circles. (b) After precharacterization, the sample is introduced into the vacuum system, where it is first cleaned in the microscope column with a laser (1); the two STEM-ADF images show the result of the cleaning (dark area corresponds to clean graphene). Next, the sample is moved to the chamber with the plasma source to be irradiated with Ar+ ions (2). After irradiation, the sample is imaged in the microscope along a serpentine path (3) using an automated image acquisition algorithm. The inset shows an atomic-resolution image of a pristine sample area. (c) The microscopy images are passed to the neural network for analysis. The inset images show examples of the detected topology and the corresponding original image. After imaging, the sample is taken out from the vacuum system, and Raman spectra are again recorded for each hole.

Graphene consists of carbon atoms arranged in a chicken-wire like pattern. This one-atom-thick material is famous for its many extraordinary properties, such as extreme strength and remarkable capability to conduct electricity. Since its discovery, researchers have looked for ways to further tailor graphene through controlled manipulation of its atomic structure. However, until now, such modifications have been only confirmed locally, because of challenges in atomic-resolution imaging of large samples and analysis of large datasets.

Now a team around Jani Kotakoski at the University of Vienna together with Nion Co. has combined an experimental setup built around an atomic-resolution Nion UltraSTEM 100 microscope and new approaches to imaging and data analysis through machine learning to bring atomic-scale control of graphene towards macroscopic sample sizes. The experimental procedure is shown in Figure 1.

The experiment begins by cleaning graphene via laser irradiation, after which it is controllably modified using low energy argon ion irradiation. After transferring the sample to the microscope under vacuum, it is imaged at atomic resolution with an automatic algorithm. The recorded images are passed to a neural network which recognizes the atomic structure providing a comprehensive overview of the atomic-scale alteration of the sample.

"The key to the successful experiment was the combination of our unique experimental setup with the new automated imaging and machine learning algorithms", says Alberto Trentino, the lead author of the study. "Developing all necessary pieces was a real team effort, and now they can be easily used for follow-up experiments", he continues.

Indeed, after this confirmed atomic-scale modification of graphene over a large area, the researchers are already expanding the method to employ the created structural imperfections to anchor impurity atoms to the structure. "We are excited of the prospect of creating new materials that are designed starting at the atomic level, based on this method", Jani Kotakoski, the leader of the research team concludes.

Research paper


Related Links
University Of Vienna
Carbon Worlds - where graphite, diamond, amorphous, fullerenes meet


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CARBON WORLDS
NASA Map Gives Most Accurate Space-Based View of LA's Carbon Dioxide
Pasadena CA (JPL) Jun 11, 2021
Using data from NASA's Orbiting Carbon Observatory 3 (OCO-3) instrument on the International Space Station, researchers have released one of the most accurate maps ever made from space of the human influence on carbon dioxide (CO2) in the Los Angeles metropolitan area. The map shows tiny variations in airborne CO2 from one mile of the giant L.A. Basin to the next. The highest CO2 readings, in yellow on the map, are on the west side of downtown L.A. - a densely populated area with congested freeway ... read more

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