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Grain boundaries in graphene do not affect spin transport

Posted By Graphene Council, The Graphene Council, Wednesday, December 4, 2019
Graphene is a material that has been gaining fame in recent years due to its magnificent properties. In particular, for spintronics, graphene is a valuable material because the spins of the electrons used remain unaltered for a relatively long time. However, graphene needs to be produced on a large scale in order to be used in future devices. With that respect, chemical vapour deposition (CVD) is the most promising fabrication method.

CVD involves growing graphene on a metallic substrate at high temperatures. In this process, the generation of graphene starts at different points of the substrate simultaneously. This produces different single-crystal domains of graphene separated from one another through grain boundaries, consisting of arrays of five-, seven- or even eight-member carbon rings. The final product is, thus, polycrystalline graphene.

Is polycrystalline graphene as good as single-crystal graphene for spintronics? Grain boundaries are a significant source of charge scattering, increasing the electric resistance of the material. How do they affect spin transport?

Some experiments suggest that grain boundaries do not play a major role on spin transport. In this context, Dr Aron W. Cummings, from the ICN2 Theoretical and Computational Nanoscience Group, led by ICREA Prof. Stephan Roche, together with researchers from the Université catholique de Louvain (Belgium), have used first-principles simulations to study the impact of grain boundaries on spin transport in polycrystalline graphene. The study is published in Nano Letters.

The researchers have considered two different mechanisms by which spins could lose their original orientation (spin relaxation). One accounts for the randomisation of spins within the grains due to spin-orbit coupling, the other considers the possibility of the spins to flip due to scattering in a grain boundary. However, the researchers found that the latter case did not happen. Grain boundaries do not have any adverse effect on spin transport.

Therefore, spin diffusion length in polycrystalline graphene is independent of grain size and depends only on the strength of the substrate-induced spin-orbit coupling. Moreover, this is valid not only for the diffusive regime of transport, but also for the weakly localized one, in which quantum phenomena begin to prevail. This is the first quantum mechanical simulation confirming that the same expression for spin diffusion length holds in both regimes.

The research highlights the fact that single-domain graphene may not be a requirement for spintronics applications, and that polycrystalline CVD-grown graphene may work just as well. This puts the focus on other aspects to enhance in graphene production, such as the elimination of magnetic impurities.

Tags:  Aron W. Cummings  chemical vapour deposition  CVD  Graphene  Nano Letters  Nanoscience  polycrystalline  Stephan Roche  Universite catholique de Louvain 

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Science snapshots from Berkeley Lab

Posted By Graphene Council, The Graphene Council, Monday, December 2, 2019
A Matchmaker for Microbiomes

Microbiomes play essential roles in the natural processes that keep the planet and our bodies healthy, so it's not surprising that scientists' investigations into these diverse microbial communities are leading to advances in medicine, sustainable agriculture, cheap water purification methods, and environmental cleanup technology, just to name a few. However, trying to determine which microbes contribute to an important geochemical or physiological reaction is both incredibly challenging and slow-going, because the task involves analyzing enormous datasets of genetic and metabolic information to match the compounds mediating a process to the microbes that produced them.

But now, researchers have devised a new way to sort through the information overload.

Writing in Nature Methods, a team led by UC San Diego describes a neural network-based approach called microbe-metabolite vectors (mmvec), which uses probabilities to identify the most likely relationship of co-occurring microbes and metabolites. The team demonstrates how mmvec can outperform traditional correlation-based approaches by applying mmvec to datasets from two well-studied microbiomes types - those found in desert soils and cystic fibrosis patients' lungs - and gives a taste of how the approach could be used in the future by revealing relationships between microbially-produced metabolites and inflammatory bowel disease.

"Previous statistical tools used to estimate microbe-metabolite correlations performed comparably to random chance," said Marc Van Goethem, a postdoctoral researcher who is one of three study authors from Berkeley Lab. "Their poor performance led to the detection of spurious relationships and missed many true relationships. Mmvec is a powerful new tool that accurately links metabolite and microbial abundances to solve this problem. There could be wide-ranging applications from clinical trials to environmental engineering. Ultimately, mmvec will allow us to begin moving away from simple pattern recognition towards unravelling mechanisms."

When Solids and Liquids Meet: In Nanoscale Detail

How a liquid interacts with the surface of a solid is important in batteries and fuel cells, chemical production, corrosion phenomena, and many biological processes.

To better understand this solid-liquid interface, researchers at Berkeley Lab developed a platform to explore these interactions under real conditions ("in situ") at the nanoscale using a technique that combines infrared light with an atomic force microscopy (AFM) probe. The results were published in the journal Nano Letters.

The team explored the interaction of graphene with several liquids, including water and a common battery electrolyte fluid. Graphene is an atomically thin form of carbon. Its single-layer atomic structure gives the material some unique properties, including incredible mechanical strength and high electrical conductivity.

Researchers used a beam of infrared light produced at Berkeley Lab's Advanced Light Source and they focused it at the tip of an AFM probe that scanned across a section of graphene in contact with the liquids. The infrared technique provides a nondestructive way to explore the active nanoscale chemistry of the solid-liquid interface.

By measuring the infrared light scattered from the probe's tip, researchers collected details about the chemical compounds and the concentration of charged particles along the solid-liquid interface. The same technique, which revealed hidden features at this interface that were not seen using conventional methods, can be used to explore a range of materials and liquids.

Researchers from the Lab's Materials Sciences Division, Molecular Foundry, and Energy Storage and Distributed Resources Division participated in the study. The Molecular Foundry and Advanced Light Source are DOE Office of Science user facilities.

Underwater telecom cables make superb seismic network

Fiber-optic cables that constitute a global undersea telecommunications network could one day help scientists study offshore earthquakes and the geologic structures hidden deep beneath the ocean surface.

In a recent paper in the journal Science, researchers UC Berkeley, Lawrence Berkeley National Laboratory (Berkeley Lab), Monterey Bay Aquarium Research Institute (MBARI), and Rice University describe an experiment that turned 20 kilometers of undersea fiber-optic cable into the equivalent of 10,000 seismic stations along the ocean floor. During their four-day experiment in Monterey Bay, they recorded a 3.5 magnitude quake and seismic scattering from underwater fault zones.

Their technique, which they had previously tested with fiber-optic cables on land, could provide much-needed data on quakes that occur under the sea, where few seismic stations exist, leaving 70% of Earth's surface without earthquake detectors.

"This is really a study on the frontier of seismology, the first time anyone has used offshore fiber-optic cables for looking at these types of oceanographic signals or for imaging fault structures," said Jonathan Ajo-Franklin, a geophysics professor at Rice University in Houston and a faculty scientist at Berkeley Lab. "One of the blank spots in the seismographic network worldwide is in the oceans."

Tags:  atomic force microscopy  Berkeley Lab  disease  fuel cells  Graphene  Healthcare  Jonathan Ajo-Franklin  journal Science  Marc Van Goethem  microbiomes  Molecular Foundry  Monterey Bay Aquarium Research Institute  Nano Letters  nanoscale  Rice University  UC San Diego 

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